Upload 34 files

.gitignore

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+/cache
+/characters
+/css
+/extensions
+/grammars
+/installer_files
+/logs
+/loras
+/models
+/presets
+/prompts
+/repositories
+/softprompts
+/torch-dumps
+/training/datasets
+
+/CMD_FLAGS.txt
+/img_bot*
+/img_me*
+/models/config-user.yaml
+/notification.mp3
+/settings*.json
+/settings*.yaml
+
+.chroma
+.DS_Store
+.eslintrc.js
+.idea
+.venv
+venv
+.envrc
+.direnv
+.vs
+.vscode
+*.bak
+*.ipynb
+*.log
+*pycache*
+cert.pem
+key.pem
+package.json
+package-lock.json
+Thumbs.db
+wandb
+
+# ignore user docker config and top level links to docker files
+/docker-compose.yaml
+/docker-compose.yml
+/Dockerfile
+.env

CMD_FLAGS.txt

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+# Only used by the one-click installer.
+# Example:
+#--listen 
+--api --api-port 9500 --verbose --character Devia

Colab-TextGen-GPU.ipynb

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+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "private_outputs": true,
+      "provenance": [],
+      "gpuType": "T4"
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    },
+    "accelerator": "GPU"
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# oobabooga/text-generation-webui\n",
+        "\n",
+        "After running both cells, a public gradio URL will appear at the bottom in a few minutes. You can optionally generate an API link.\n",
+        "\n",
+        "* Project page: https://github.com/oobabooga/text-generation-webui\n",
+        "* Gradio server status: https://status.gradio.app/"
+      ],
+      "metadata": {
+        "id": "MFQl6-FjSYtY"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "#@title 1. Keep this tab alive to prevent Colab from disconnecting you { display-mode: \"form\" }\n",
+        "\n",
+        "#@markdown Press play on the music player that will appear below:\n",
+        "%%html\n",
+        "<audio src=\"https://oobabooga.github.io/silence.m4a\" controls>"
+      ],
+      "metadata": {
+        "id": "f7TVVj_z4flw"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "#@title 2. Launch the web UI\n",
+        "\n",
+        "#@markdown If unsure about the branch, write \"main\" or leave it blank.\n",
+        "\n",
+        "import torch\n",
+        "from pathlib import Path\n",
+        "\n",
+        "if Path.cwd().name != 'text-generation-webui':\n",
+        "  print(\"Installing the webui...\")\n",
+        "\n",
+        "  !git clone https://github.com/oobabooga/text-generation-webui\n",
+        "  %cd text-generation-webui\n",
+        "\n",
+        "  torver = torch.__version__\n",
+        "  print(f\"TORCH: {torver}\")\n",
+        "  is_cuda118 = '+cu118' in torver  # 2.1.0+cu118\n",
+        "\n",
+        "  textgen_requirements = open('requirements.txt').read().splitlines()\n",
+        "  if is_cuda118:\n",
+        "      textgen_requirements = [req.replace('+cu121', '+cu118').replace('+cu122', '+cu118') for req in textgen_requirements]\n",
+        "  with open('temp_requirements.txt', 'w') as file:\n",
+        "      file.write('\\n'.join(textgen_requirements))\n",
+        "\n",
+        "  !pip install -r extensions/openai/requirements.txt --upgrade\n",
+        "  !pip install -r temp_requirements.txt --upgrade\n",
+        "\n",
+        "  print(\"\\033[1;32;1m\\n --> If you see a warning about \\\"previously imported packages\\\", just ignore it.\\033[0;37;0m\")\n",
+        "  print(\"\\033[1;32;1m\\n --> There is no need to restart the runtime.\\n\\033[0;37;0m\")\n",
+        "\n",
+        "  try:\n",
+        "    import flash_attn\n",
+        "  except:\n",
+        "    !pip uninstall -y flash_attn\n",
+        "\n",
+        "# Parameters\n",
+        "model_url = \"https://huggingface.co/TheBloke/MythoMax-L2-13B-GPTQ\" #@param {type:\"string\"}\n",
+        "branch = \"gptq-4bit-32g-actorder_True\" #@param {type:\"string\"}\n",
+        "command_line_flags = \"--n-gpu-layers 128 --load-in-4bit --use_double_quant\" #@param {type:\"string\"}\n",
+        "api = False #@param {type:\"boolean\"}\n",
+        "\n",
+        "if api:\n",
+        "  for param in ['--api', '--public-api']:\n",
+        "    if param not in command_line_flags:\n",
+        "      command_line_flags += f\" {param}\"\n",
+        "\n",
+        "model_url = model_url.strip()\n",
+        "if model_url != \"\":\n",
+        "    if not model_url.startswith('http'):\n",
+        "        model_url = 'https://huggingface.co/' + model_url\n",
+        "\n",
+        "    # Download the model\n",
+        "    url_parts = model_url.strip('/').strip().split('/')\n",
+        "    output_folder = f\"{url_parts[-2]}_{url_parts[-1]}\"\n",
+        "    branch = branch.strip('\"\\' ')\n",
+        "    if branch.strip() not in ['', 'main']:\n",
+        "        output_folder += f\"_{branch}\"\n",
+        "        !python download-model.py {model_url} --branch {branch}\n",
+        "    else:\n",
+        "        !python download-model.py {model_url}\n",
+        "else:\n",
+        "    output_folder = \"\"\n",
+        "\n",
+        "# Start the web UI\n",
+        "cmd = f\"python server.py --share\"\n",
+        "if output_folder != \"\":\n",
+        "    cmd += f\" --model {output_folder}\"\n",
+        "cmd += f\" {command_line_flags}\"\n",
+        "print(cmd)\n",
+        "!$cmd"
+      ],
+      "metadata": {
+        "id": "LGQ8BiMuXMDG",
+        "cellView": "form"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}

LICENSE

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+                    GNU AFFERO GENERAL PUBLIC LICENSE
+                       Version 3, 19 November 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
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README.md

@@ -1,13 +1,428 @@
----
-title: Testing Space
-emoji: 📚
-colorFrom: purple
-colorTo: purple
-sdk: gradio
-sdk_version: 4.17.0
-app_file: app.py
-pinned: false
-license: apache-2.0
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Text generation web UI
+
+A Gradio web UI for Large Language Models.
+
+Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) of text generation.
+
+|![Image1](https://github.com/oobabooga/screenshots/raw/main/print_instruct.png) | ![Image2](https://github.com/oobabooga/screenshots/raw/main/print_chat.png) |
+|:---:|:---:|
+|![Image1](https://github.com/oobabooga/screenshots/raw/main/print_default.png) | ![Image2](https://github.com/oobabooga/screenshots/raw/main/print_parameters.png) |
+
+## Features
+
+* 3 interface modes: default (two columns), notebook, and chat.
+* Multiple model backends: [Transformers](https://github.com/huggingface/transformers), [llama.cpp](https://github.com/ggerganov/llama.cpp) (through [llama-cpp-python](https://github.com/abetlen/llama-cpp-python)), [ExLlamaV2](https://github.com/turboderp/exllamav2), [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ), [AutoAWQ](https://github.com/casper-hansen/AutoAWQ), [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa), [CTransformers](https://github.com/marella/ctransformers), [QuIP#](https://github.com/Cornell-RelaxML/quip-sharp).
+* Dropdown menu for quickly switching between different models.
+* Large number of extensions (built-in and user-contributed), including Coqui TTS for realistic voice outputs, Whisper STT for voice inputs, translation, [multimodal pipelines](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/multimodal), vector databases, Stable Diffusion integration, and a lot more. See [the wiki](https://github.com/oobabooga/text-generation-webui/wiki/07-%E2%80%90-Extensions) and [the extensions directory](https://github.com/oobabooga/text-generation-webui-extensions) for details.
+* [Chat with custom characters](https://github.com/oobabooga/text-generation-webui/wiki/03-%E2%80%90-Parameters-Tab#character).
+* Precise chat templates for instruction-following models, including Llama-2-chat, Alpaca, Vicuna, Mistral.
+* LoRA: train new LoRAs with your own data, load/unload LoRAs on the fly for generation.
+* Transformers library integration: load models in 4-bit or 8-bit precision through bitsandbytes, use llama.cpp with transformers samplers (`llamacpp_HF` loader), CPU inference in 32-bit precision using PyTorch.
+* OpenAI-compatible API server with Chat and Completions endpoints -- see the [examples](https://github.com/oobabooga/text-generation-webui/wiki/12-%E2%80%90-OpenAI-API#examples).
+
+## How to install
+
+1) Clone or [download](https://github.com/oobabooga/text-generation-webui/archive/refs/heads/main.zip) the repository.
+2) Run the `start_linux.sh`, `start_windows.bat`, `start_macos.sh`, or `start_wsl.bat` script depending on your OS.
+3) Select your GPU vendor when asked.
+4) Once the installation ends, browse to `http://localhost:7860/?__theme=dark`.
+5) Have fun!
+
+To restart the web UI in the future, just run the `start_` script again. This script creates an `installer_files` folder where it sets up the project's requirements. In case you need to reinstall the requirements, you can simply delete that folder and start the web UI again.
+
+The script accepts command-line flags. Alternatively, you can edit the `CMD_FLAGS.txt` file with a text editor and add your flags there.
+
+To get updates in the future, run `update_linux.sh`, `update_windows.bat`, `update_macos.sh`, or `update_wsl.bat`.
+
+<details>
+<summary>
+Setup details and information about installing manually
+</summary>
+
+### One-click-installer
+
+The script uses Miniconda to set up a Conda environment in the `installer_files` folder.
+
+If you ever need to install something manually in the `installer_files` environment, you can launch an interactive shell using the cmd script: `cmd_linux.sh`, `cmd_windows.bat`, `cmd_macos.sh`, or `cmd_wsl.bat`.
+
+* There is no need to run any of those scripts (`start_`, `update_`, or `cmd_`) as admin/root.
+* For additional instructions about AMD and WSL setup, consult [the documentation](https://github.com/oobabooga/text-generation-webui/wiki).
+* For automated installation, you can use the `GPU_CHOICE`, `USE_CUDA118`, `LAUNCH_AFTER_INSTALL`, and `INSTALL_EXTENSIONS` environment variables. For instance: `GPU_CHOICE=A USE_CUDA118=FALSE LAUNCH_AFTER_INSTALL=FALSE INSTALL_EXTENSIONS=FALSE ./start_linux.sh`.
+
+### Manual installation using Conda
+
+Recommended if you have some experience with the command-line.
+
+#### 0. Install Conda
+
+https://docs.conda.io/en/latest/miniconda.html
+
+On Linux or WSL, it can be automatically installed with these two commands ([source](https://educe-ubc.github.io/conda.html)):
+
+```
+curl -sL "https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh" > "Miniconda3.sh"
+bash Miniconda3.sh
+```
+
+#### 1. Create a new conda environment
+
+```
+conda create -n textgen python=3.11
+conda activate textgen
+```
+
+#### 2. Install Pytorch
+
+| System | GPU | Command |
+|--------|---------|---------|
+| Linux/WSL | NVIDIA | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121` |
+| Linux/WSL | CPU only | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu` |
+| Linux | AMD | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.6` |
+| MacOS + MPS | Any | `pip3 install torch torchvision torchaudio` |
+| Windows | NVIDIA | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121` |
+| Windows | CPU only | `pip3 install torch torchvision torchaudio` |
+
+The up-to-date commands can be found here: https://pytorch.org/get-started/locally/.
+
+For NVIDIA, you also need to install the CUDA runtime libraries:
+
+```
+conda install -y -c "nvidia/label/cuda-12.1.1" cuda-runtime
+```
+
+If you need `nvcc` to compile some library manually, replace the command above with
+
+```
+conda install -y -c "nvidia/label/cuda-12.1.1" cuda
+```
+
+#### 3. Install the web UI
+
+```
+git clone https://github.com/oobabooga/text-generation-webui
+cd text-generation-webui
+pip install -r <requirements file according to table below>
+```
+
+Requirements file to use:
+
+| GPU | CPU | requirements file to use |
+|--------|---------|---------|
+| NVIDIA | has AVX2 | `requirements.txt` |
+| NVIDIA | no AVX2 | `requirements_noavx2.txt` |
+| AMD | has AVX2 | `requirements_amd.txt` |
+| AMD | no AVX2 | `requirements_amd_noavx2.txt` |
+| CPU only | has AVX2 | `requirements_cpu_only.txt` |
+| CPU only | no AVX2 | `requirements_cpu_only_noavx2.txt` |
+| Apple | Intel | `requirements_apple_intel.txt` |
+| Apple | Apple Silicon | `requirements_apple_silicon.txt` |
+
+### Start the web UI
+
+```
+conda activate textgen
+cd text-generation-webui
+python server.py
+```
+
+Then browse to
+
+`http://localhost:7860/?__theme=dark`
+
+##### AMD GPU on Windows
+
+1) Use `requirements_cpu_only.txt` or `requirements_cpu_only_noavx2.txt` in the command above.
+
+2) Manually install llama-cpp-python using the appropriate command for your hardware: [Installation from PyPI](https://github.com/abetlen/llama-cpp-python#installation-with-hardware-acceleration).
+    * Use the `LLAMA_HIPBLAS=on` toggle.
+    * Note the [Windows remarks](https://github.com/abetlen/llama-cpp-python#windows-remarks).
+
+3) Manually install AutoGPTQ: [Installation](https://github.com/PanQiWei/AutoGPTQ#install-from-source).
+    * Perform the from-source installation - there are no prebuilt ROCm packages for Windows.
+
+##### Older NVIDIA GPUs
+
+1) For Kepler GPUs and older, you will need to install CUDA 11.8 instead of 12:
+
+```
+pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
+conda install -y -c "nvidia/label/cuda-11.8.0" cuda-runtime
+```
+
+2) bitsandbytes >= 0.39 may not work. In that case, to use `--load-in-8bit`, you may have to downgrade like this:
+    * Linux: `pip install bitsandbytes==0.38.1`
+    * Windows: `pip install https://github.com/jllllll/bitsandbytes-windows-webui/raw/main/bitsandbytes-0.38.1-py3-none-any.whl`
+
+##### Manual install
+
+The `requirements*.txt` above contain various wheels precompiled through GitHub Actions. If you wish to compile things manually, or if you need to because no suitable wheels are available for your hardware, you can use `requirements_nowheels.txt` and then install your desired loaders manually.
+
+### Alternative: Docker
+
+```
+For NVIDIA GPU:
+ln -s docker/{nvidia/Dockerfile,nvidia/docker-compose.yml,.dockerignore} .
+For AMD GPU: 
+ln -s docker/{amd/Dockerfile,intel/docker-compose.yml,.dockerignore} .
+For Intel GPU:
+ln -s docker/{intel/Dockerfile,amd/docker-compose.yml,.dockerignore} .
+For CPU only
+ln -s docker/{cpu/Dockerfile,cpu/docker-compose.yml,.dockerignore} .
+cp docker/.env.example .env
+#Create logs/cache dir : 
+mkdir -p logs cache
+# Edit .env and set: 
+#   TORCH_CUDA_ARCH_LIST based on your GPU model
+#   APP_RUNTIME_GID      your host user's group id (run `id -g` in a terminal)
+#   BUILD_EXTENIONS      optionally add comma separated list of extensions to build
+# Edit CMD_FLAGS.txt and add in it the options you want to execute (like --listen --cpu)
+# 
+docker compose up --build
+```
+
+* You need to have Docker Compose v2.17 or higher installed. See [this guide](https://github.com/oobabooga/text-generation-webui/wiki/09-%E2%80%90-Docker) for instructions.
+* For additional docker files, check out [this repository](https://github.com/Atinoda/text-generation-webui-docker).
+
+### Updating the requirements
+
+From time to time, the `requirements*.txt` change. To update, use these commands:
+
+```
+conda activate textgen
+cd text-generation-webui
+pip install -r <requirements file that you have used> --upgrade
+```
+</details>
+
+<details>
+<summary>
+List of command-line flags
+</summary>
+
+#### Basic settings
+
+| Flag                                       | Description |
+|--------------------------------------------|-------------|
+| `-h`, `--help`                             | show this help message and exit |
+| `--multi-user`                             | Multi-user mode. Chat histories are not saved or automatically loaded. WARNING: this is likely not safe for sharing publicly. |
+| `--character CHARACTER`                    | The name of the character to load in chat mode by default. |
+| `--model MODEL`                            | Name of the model to load by default. |
+| `--lora LORA [LORA ...]`                   | The list of LoRAs to load. If you want to load more than one LoRA, write the names separated by spaces. |
+| `--model-dir MODEL_DIR`                    | Path to directory with all the models. |
+| `--lora-dir LORA_DIR`                      | Path to directory with all the loras. |
+| `--model-menu`                             | Show a model menu in the terminal when the web UI is first launched. |
+| `--settings SETTINGS_FILE`                 | Load the default interface settings from this yaml file. See `settings-template.yaml` for an example. If you create a file called `settings.yaml`, this file will be loaded by default without the need to use the `--settings` flag. |
+| `--extensions EXTENSIONS [EXTENSIONS ...]` | The list of extensions to load. If you want to load more than one extension, write the names separated by spaces. |
+| `--verbose`                                | Print the prompts to the terminal. |
+| `--chat-buttons`                           | Show buttons on the chat tab instead of a hover menu. |
+
+#### Model loader
+
+| Flag                                       | Description |
+|--------------------------------------------|-------------|
+| `--loader LOADER`                          | Choose the model loader manually, otherwise, it will get autodetected. Valid options: Transformers, llama.cpp, llamacpp_HF, ExLlamav2_HF, ExLlamav2, AutoGPTQ, AutoAWQ, GPTQ-for-LLaMa, ctransformers, QuIP#. |
+
+#### Accelerate/transformers
+
+| Flag                                        | Description |
+|---------------------------------------------|-------------|
+| `--cpu`                                     | Use the CPU to generate text. Warning: Training on CPU is extremely slow. |
+| `--auto-devices`                            | Automatically split the model across the available GPU(s) and CPU. |
+|  `--gpu-memory GPU_MEMORY [GPU_MEMORY ...]` | Maximum GPU memory in GiB to be allocated per GPU. Example: --gpu-memory 10 for a single GPU, --gpu-memory 10 5 for two GPUs. You can also set values in MiB like --gpu-memory 3500MiB. |
+| `--cpu-memory CPU_MEMORY`                   | Maximum CPU memory in GiB to allocate for offloaded weights. Same as above. |
+| `--disk`                                    | If the model is too large for your GPU(s) and CPU combined, send the remaining layers to the disk. |
+| `--disk-cache-dir DISK_CACHE_DIR`           | Directory to save the disk cache to. Defaults to "cache". |
+| `--load-in-8bit`                            | Load the model with 8-bit precision (using bitsandbytes). |
+| `--bf16`                                    | Load the model with bfloat16 precision. Requires NVIDIA Ampere GPU. |
+| `--no-cache`                                | Set `use_cache` to `False` while generating text. This reduces VRAM usage slightly, but it comes at a performance cost. |
+| `--trust-remote-code`                       | Set `trust_remote_code=True` while loading the model. Necessary for some models. |
+| `--no_use_fast`                             | Set use_fast=False while loading the tokenizer (it's True by default). Use this if you have any problems related to use_fast. |
+| `--use_flash_attention_2`                   | Set use_flash_attention_2=True while loading the model. |
+
+#### bitsandbytes 4-bit
+
+⚠️  Requires minimum compute of 7.0 on Windows at the moment.
+
+| Flag                                        | Description |
+|---------------------------------------------|-------------|
+| `--load-in-4bit`                            | Load the model with 4-bit precision (using bitsandbytes). |
+| `--use_double_quant`                        | use_double_quant for 4-bit. |
+| `--compute_dtype COMPUTE_DTYPE`             | compute dtype for 4-bit. Valid options: bfloat16, float16, float32. |
+| `--quant_type QUANT_TYPE`                   | quant_type for 4-bit. Valid options: nf4, fp4. |
+
+#### llama.cpp
+
+| Flag        | Description |
+|-------------|-------------|
+| `--tensorcores`  | Use llama-cpp-python compiled with tensor cores support. This increases performance on RTX cards. NVIDIA only. |
+| `--n_ctx N_CTX` | Size of the prompt context. |
+| `--threads` | Number of threads to use. |
+| `--threads-batch THREADS_BATCH` | Number of threads to use for batches/prompt processing. |
+| `--no_mul_mat_q` | Disable the mulmat kernels. |
+| `--n_batch` | Maximum number of prompt tokens to batch together when calling llama_eval. |
+| `--no-mmap`   | Prevent mmap from being used. |
+| `--mlock`     | Force the system to keep the model in RAM. |
+| `--n-gpu-layers N_GPU_LAYERS` | Number of layers to offload to the GPU. |
+| `--tensor_split TENSOR_SPLIT`       | Split the model across multiple GPUs. Comma-separated list of proportions. Example: 18,17. |
+| `--numa`      | Activate NUMA task allocation for llama.cpp. |
+| `--logits_all`| Needs to be set for perplexity evaluation to work. Otherwise, ignore it, as it makes prompt processing slower. |
+| `--no_offload_kqv` | Do not offload the K, Q, V to the GPU. This saves VRAM but reduces the performance. |
+| `--cache-capacity CACHE_CAPACITY`   | Maximum cache capacity (llama-cpp-python). Examples: 2000MiB, 2GiB. When provided without units, bytes will be assumed. |
+
+#### ExLlamav2
+
+| Flag             | Description |
+|------------------|-------------|
+|`--gpu-split`     | Comma-separated list of VRAM (in GB) to use per GPU device for model layers. Example: 20,7,7. |
+|`--max_seq_len MAX_SEQ_LEN`           | Maximum sequence length. |
+|`--cfg-cache`                         | ExLlamav2_HF: Create an additional cache for CFG negative prompts. Necessary to use CFG with that loader. |
+|`--no_flash_attn`                     | Force flash-attention to not be used. |
+|`--cache_8bit`                        | Use 8-bit cache to save VRAM. |
+|`--num_experts_per_token NUM_EXPERTS_PER_TOKEN` |  Number of experts to use for generation. Applies to MoE models like Mixtral. |
+
+#### AutoGPTQ
+
+| Flag             | Description |
+|------------------|-------------|
+| `--triton`                     | Use triton. |
+| `--no_inject_fused_attention`  | Disable the use of fused attention, which will use less VRAM at the cost of slower inference. |
+| `--no_inject_fused_mlp`        | Triton mode only: disable the use of fused MLP, which will use less VRAM at the cost of slower inference. |
+| `--no_use_cuda_fp16`           | This can make models faster on some systems. |
+| `--desc_act`                   | For models that don't have a quantize_config.json, this parameter is used to define whether to set desc_act or not in BaseQuantizeConfig. |
+| `--disable_exllama`            | Disable ExLlama kernel, which can improve inference speed on some systems. |
+| `--disable_exllamav2`          | Disable ExLlamav2 kernel. |
+
+#### GPTQ-for-LLaMa
+
+| Flag                      | Description |
+|---------------------------|-------------|
+| `--wbits WBITS`           | Load a pre-quantized model with specified precision in bits. 2, 3, 4 and 8 are supported. |
+| `--model_type MODEL_TYPE` | Model type of pre-quantized model. Currently LLaMA, OPT, and GPT-J are supported. |
+| `--groupsize GROUPSIZE`   | Group size. |
+| `--pre_layer PRE_LAYER [PRE_LAYER ...]`  | The number of layers to allocate to the GPU. Setting this parameter enables CPU offloading for 4-bit models. For multi-gpu, write the numbers separated by spaces, eg `--pre_layer 30 60`. |
+| `--checkpoint CHECKPOINT` | The path to the quantized checkpoint file. If not specified, it will be automatically detected. |
+| `--monkey-patch`          | Apply the monkey patch for using LoRAs with quantized models. |
+
+#### ctransformers
+
+| Flag        | Description |
+|-------------|-------------|
+| `--model_type MODEL_TYPE` | Model type of pre-quantized model. Currently gpt2, gptj, gptneox, falcon, llama, mpt, starcoder (gptbigcode), dollyv2, and replit are supported. |
+
+#### HQQ
+
+| Flag        | Description |
+|-------------|-------------|
+| `--hqq-backend` | Backend for the HQQ loader. Valid options: PYTORCH, PYTORCH_COMPILE, ATEN. |
+
+#### DeepSpeed
+
+| Flag                                  | Description |
+|---------------------------------------|-------------|
+| `--deepspeed`                         | Enable the use of DeepSpeed ZeRO-3 for inference via the Transformers integration. |
+| `--nvme-offload-dir NVME_OFFLOAD_DIR` | DeepSpeed: Directory to use for ZeRO-3 NVME offloading. |
+| `--local_rank LOCAL_RANK`             | DeepSpeed: Optional argument for distributed setups. |
+
+#### RoPE (for llama.cpp, ExLlamaV2, and transformers)
+
+| Flag             | Description |
+|------------------|-------------|
+| `--alpha_value ALPHA_VALUE`           | Positional embeddings alpha factor for NTK RoPE scaling. Use either this or `compress_pos_emb`, not both. |
+| `--rope_freq_base ROPE_FREQ_BASE`     | If greater than 0, will be used instead of alpha_value. Those two are related by `rope_freq_base = 10000 * alpha_value ^ (64 / 63)`. |
+| `--compress_pos_emb COMPRESS_POS_EMB` | Positional embeddings compression factor. Should be set to `(context length) / (model's original context length)`. Equal to `1/rope_freq_scale`. |
+
+#### Gradio
+
+| Flag                                  | Description |
+|---------------------------------------|-------------|
+| `--listen`                            | Make the web UI reachable from your local network. |
+| `--listen-port LISTEN_PORT`           | The listening port that the server will use. |
+| `--listen-host LISTEN_HOST`           | The hostname that the server will use. |
+| `--share`                             | Create a public URL. This is useful for running the web UI on Google Colab or similar. |
+| `--auto-launch`                       | Open the web UI in the default browser upon launch. |
+| `--gradio-auth USER:PWD`              | Set Gradio authentication password in the format "username:password". Multiple credentials can also be supplied with "u1:p1,u2:p2,u3:p3". |
+| `--gradio-auth-path GRADIO_AUTH_PATH` | Set the Gradio authentication file path. The file should contain one or more user:password pairs in the same format as above. |
+| `--ssl-keyfile SSL_KEYFILE`           | The path to the SSL certificate key file. |
+| `--ssl-certfile SSL_CERTFILE`         | The path to the SSL certificate cert file. |
+
+#### API
+
+| Flag                                  | Description |
+|---------------------------------------|-------------|
+| `--api`                               | Enable the API extension. |
+| `--public-api`                        | Create a public URL for the API using Cloudfare. |
+| `--public-api-id PUBLIC_API_ID`       | Tunnel ID for named Cloudflare Tunnel. Use together with public-api option. |
+| `--api-port API_PORT`                 | The listening port for the API. |
+| `--api-key API_KEY`                   | API authentication key. |
+| `--admin-key ADMIN_KEY`               | API authentication key for admin tasks like loading and unloading models. If not set, will be the same as --api-key. |
+| `--nowebui`                           | Do not launch the Gradio UI. Useful for launching the API in standalone mode. |
+
+#### Multimodal
+
+| Flag                                  | Description |
+|---------------------------------------|-------------|
+| `--multimodal-pipeline PIPELINE`      | The multimodal pipeline to use. Examples: `llava-7b`, `llava-13b`. |
+
+</details>
+
+## Documentation
+
+https://github.com/oobabooga/text-generation-webui/wiki
+
+## Downloading models
+
+Models should be placed in the folder `text-generation-webui/models`. They are usually downloaded from [Hugging Face](https://huggingface.co/models?pipeline_tag=text-generation&sort=downloads).
+
+* GGUF models are a single file and should be placed directly into `models`. Example:
+
+```
+text-generation-webui
+└── models
+    └── llama-2-13b-chat.Q4_K_M.gguf
+```
+
+* The remaining model types (like 16-bit transformers models and GPTQ models) are made of several files and must be placed in a subfolder. Example:
+
+```
+text-generation-webui
+├── models
+│   ├── lmsys_vicuna-33b-v1.3
+│   │   ├── config.json
+│   │   ├── generation_config.json
+│   │   ├── pytorch_model-00001-of-00007.bin
+│   │   ├── pytorch_model-00002-of-00007.bin
+│   │   ├── pytorch_model-00003-of-00007.bin
+│   │   ├── pytorch_model-00004-of-00007.bin
+│   │   ├── pytorch_model-00005-of-00007.bin
+│   │   ├── pytorch_model-00006-of-00007.bin
+│   │   ├── pytorch_model-00007-of-00007.bin
+│   │   ├── pytorch_model.bin.index.json
+│   │   ├── special_tokens_map.json
+│   │   ├── tokenizer_config.json
+│   │   └── tokenizer.model
+```
+
+In both cases, you can use the "Model" tab of the UI to download the model from Hugging Face automatically. It is also possible to download it via the command-line with 
+
+```
+python download-model.py organization/model
+```
+
+Run `python download-model.py --help` to see all the options.
+
+## Google Colab notebook
+
+https://colab.research.google.com/github/oobabooga/text-generation-webui/blob/main/Colab-TextGen-GPU.ipynb
+
+## Contributing
+
+If you would like to contribute to the project, check out the [Contributing guidelines](https://github.com/oobabooga/text-generation-webui/wiki/Contributing-guidelines).
+
+## Community
+
+* Subreddit: https://www.reddit.com/r/oobabooga/
+* Discord: https://discord.gg/jwZCF2dPQN
+
+## Acknowledgment
+
+In August 2023, [Andreessen Horowitz](https://a16z.com/) (a16z) provided a generous grant to encourage and support my independent work on this project. I am **extremely** grateful for their trust and recognition.

cmd_linux.sh

@@ -0,0 +1,22 @@
+#!/bin/bash
+
+cd "$(dirname "${BASH_SOURCE[0]}")"
+
+if [[ "$(pwd)" =~ " " ]]; then echo This script relies on Miniconda which can not be silently installed under a path with spaces. && exit; fi
+
+# deactivate existing conda envs as needed to avoid conflicts
+{ conda deactivate && conda deactivate && conda deactivate; } 2> /dev/null
+
+# config
+CONDA_ROOT_PREFIX="$(pwd)/installer_files/conda"
+INSTALL_ENV_DIR="$(pwd)/installer_files/env"
+
+# environment isolation
+export PYTHONNOUSERSITE=1
+unset PYTHONPATH
+unset PYTHONHOME
+export CUDA_PATH="$INSTALL_ENV_DIR"
+export CUDA_HOME="$CUDA_PATH"
+
+# activate env
+bash --init-file <(echo "source \"$CONDA_ROOT_PREFIX/etc/profile.d/conda.sh\" && conda activate \"$INSTALL_ENV_DIR\"")

cmd_macos.sh

@@ -0,0 +1,24 @@
+#!/bin/bash
+
+cd "$(dirname "${BASH_SOURCE[0]}")"
+
+if [[ "$(pwd)" =~ " " ]]; then echo This script relies on Miniconda which can not be silently installed under a path with spaces. && exit; fi
+
+# deactivate existing conda envs as needed to avoid conflicts
+{ conda deactivate && conda deactivate && conda deactivate; } 2> /dev/null
+
+# config
+CONDA_ROOT_PREFIX="$(pwd)/installer_files/conda"
+INSTALL_ENV_DIR="$(pwd)/installer_files/env"
+
+# environment isolation
+export PYTHONNOUSERSITE=1
+unset PYTHONPATH
+unset PYTHONHOME
+export CUDA_PATH="$INSTALL_ENV_DIR"
+export CUDA_HOME="$CUDA_PATH"
+
+# activate env
+source $CONDA_ROOT_PREFIX/etc/profile.d/conda.sh
+conda activate $INSTALL_ENV_DIR
+exec bash --norc

cmd_windows.bat

@@ -0,0 +1,34 @@
+@echo off
+
+cd /D "%~dp0"
+
+set PATH=%PATH%;%SystemRoot%\system32
+
+echo "%CD%"| findstr /C:" " >nul && echo This script relies on Miniconda which can not be silently installed under a path with spaces. && goto end
+
+@rem fix failed install when installing to a separate drive
+set TMP=%cd%\installer_files
+set TEMP=%cd%\installer_files
+
+@rem deactivate existing conda envs as needed to avoid conflicts
+(call conda deactivate && call conda deactivate && call conda deactivate) 2>nul
+
+@rem config
+set CONDA_ROOT_PREFIX=%cd%\installer_files\conda
+set INSTALL_ENV_DIR=%cd%\installer_files\env
+
+@rem environment isolation
+set PYTHONNOUSERSITE=1
+set PYTHONPATH=
+set PYTHONHOME=
+set "CUDA_PATH=%INSTALL_ENV_DIR%"
+set "CUDA_HOME=%CUDA_PATH%"
+
+@rem activate installer env
+call "%CONDA_ROOT_PREFIX%\condabin\conda.bat" activate "%INSTALL_ENV_DIR%" || ( echo. && echo Miniconda hook not found. && goto end )
+
+@rem enter commands
+cmd /k "%*"
+
+:end
+pause

cmd_wsl.bat

@@ -0,0 +1,11 @@
+@echo off
+
+cd /D "%~dp0"
+
+set PATH=%PATH%;%SystemRoot%\system32
+
+@rem sed -i 's/\x0D$//' ./wsl.sh converts newlines to unix format in the wsl script
+call wsl -e bash -lic "sed -i 's/\x0D$//' ./wsl.sh; source ./wsl.sh cmd"
+
+:end
+pause

convert-to-safetensors.py

@@ -0,0 +1,38 @@
+'''
+
+Converts a transformers model to safetensors format and shards it.
+
+This makes it faster to load (because of safetensors) and lowers its RAM usage
+while loading (because of sharding).
+
+Based on the original script by 81300:
+
+https://gist.github.com/81300/fe5b08bff1cba45296a829b9d6b0f303
+
+'''
+
+import argparse
+from pathlib import Path
+
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+parser = argparse.ArgumentParser(formatter_class=lambda prog: argparse.HelpFormatter(prog, max_help_position=54))
+parser.add_argument('MODEL', type=str, default=None, nargs='?', help="Path to the input model.")
+parser.add_argument('--output', type=str, default=None, help='Path to the output folder (default: models/{model_name}_safetensors).')
+parser.add_argument("--max-shard-size", type=str, default="2GB", help="Maximum size of a shard in GB or MB (default: %(default)s).")
+parser.add_argument('--bf16', action='store_true', help='Load the model with bfloat16 precision. Requires NVIDIA Ampere GPU.')
+args = parser.parse_args()
+
+if __name__ == '__main__':
+    path = Path(args.MODEL)
+    model_name = path.name
+
+    print(f"Loading {model_name}...")
+    model = AutoModelForCausalLM.from_pretrained(path, low_cpu_mem_usage=True, torch_dtype=torch.bfloat16 if args.bf16 else torch.float16)
+    tokenizer = AutoTokenizer.from_pretrained(path)
+
+    out_folder = args.output or Path(f"models/{model_name}_safetensors")
+    print(f"Saving the converted model to {out_folder} with a maximum shard size of {args.max_shard_size}...")
+    model.save_pretrained(out_folder, max_shard_size=args.max_shard_size, safe_serialization=True)
+    tokenizer.save_pretrained(out_folder)

download-model.py

@@ -0,0 +1,313 @@
+'''
+Downloads models from Hugging Face to models/username_modelname.
+
+Example:
+python download-model.py facebook/opt-1.3b
+
+'''
+
+import argparse
+import base64
+import datetime
+import hashlib
+import json
+import os
+import re
+import sys
+from pathlib import Path
+
+import requests
+import tqdm
+from requests.adapters import HTTPAdapter
+from tqdm.contrib.concurrent import thread_map
+
+base = "https://huggingface.co"
+
+
+class ModelDownloader:
+    def __init__(self, max_retries=5):
+        self.session = requests.Session()
+        if max_retries:
+            self.session.mount('https://cdn-lfs.huggingface.co', HTTPAdapter(max_retries=max_retries))
+            self.session.mount('https://huggingface.co', HTTPAdapter(max_retries=max_retries))
+
+        if os.getenv('HF_USER') is not None and os.getenv('HF_PASS') is not None:
+            self.session.auth = (os.getenv('HF_USER'), os.getenv('HF_PASS'))
+
+        try:
+            from huggingface_hub import get_token
+            token = get_token()
+        except ImportError:
+            token = os.getenv("HF_TOKEN")
+
+        if token is not None:
+            self.session.headers = {'authorization': f'Bearer {token}'}
+
+    def sanitize_model_and_branch_names(self, model, branch):
+        if model[-1] == '/':
+            model = model[:-1]
+
+        if model.startswith(base + '/'):
+            model = model[len(base) + 1:]
+
+        model_parts = model.split(":")
+        model = model_parts[0] if len(model_parts) > 0 else model
+        branch = model_parts[1] if len(model_parts) > 1 else branch
+
+        if branch is None:
+            branch = "main"
+        else:
+            pattern = re.compile(r"^[a-zA-Z0-9._-]+$")
+            if not pattern.match(branch):
+                raise ValueError(
+                    "Invalid branch name. Only alphanumeric characters, period, underscore and dash are allowed.")
+
+        return model, branch
+
+    def get_download_links_from_huggingface(self, model, branch, text_only=False, specific_file=None):
+        page = f"/api/models/{model}/tree/{branch}"
+        cursor = b""
+
+        links = []
+        sha256 = []
+        classifications = []
+        has_pytorch = False
+        has_pt = False
+        has_gguf = False
+        has_safetensors = False
+        is_lora = False
+        while True:
+            url = f"{base}{page}" + (f"?cursor={cursor.decode()}" if cursor else "")
+            r = self.session.get(url, timeout=10)
+            r.raise_for_status()
+            content = r.content
+
+            dict = json.loads(content)
+            if len(dict) == 0:
+                break
+
+            for i in range(len(dict)):
+                fname = dict[i]['path']
+                if specific_file not in [None, ''] and fname != specific_file:
+                    continue
+
+                if not is_lora and fname.endswith(('adapter_config.json', 'adapter_model.bin')):
+                    is_lora = True
+
+                is_pytorch = re.match(r"(pytorch|adapter|gptq)_model.*\.bin", fname)
+                is_safetensors = re.match(r".*\.safetensors", fname)
+                is_pt = re.match(r".*\.pt", fname)
+                is_gguf = re.match(r'.*\.gguf', fname)
+                is_tiktoken = re.match(r".*\.tiktoken", fname)
+                is_tokenizer = re.match(r"(tokenizer|ice|spiece).*\.model", fname) or is_tiktoken
+                is_text = re.match(r".*\.(txt|json|py|md)", fname) or is_tokenizer
+                if any((is_pytorch, is_safetensors, is_pt, is_gguf, is_tokenizer, is_text)):
+                    if 'lfs' in dict[i]:
+                        sha256.append([fname, dict[i]['lfs']['oid']])
+
+                    if is_text:
+                        links.append(f"https://huggingface.co/{model}/resolve/{branch}/{fname}")
+                        classifications.append('text')
+                        continue
+
+                    if not text_only:
+                        links.append(f"https://huggingface.co/{model}/resolve/{branch}/{fname}")
+                        if is_safetensors:
+                            has_safetensors = True
+                            classifications.append('safetensors')
+                        elif is_pytorch:
+                            has_pytorch = True
+                            classifications.append('pytorch')
+                        elif is_pt:
+                            has_pt = True
+                            classifications.append('pt')
+                        elif is_gguf:
+                            has_gguf = True
+                            classifications.append('gguf')
+
+            cursor = base64.b64encode(f'{{"file_name":"{dict[-1]["path"]}"}}'.encode()) + b':50'
+            cursor = base64.b64encode(cursor)
+            cursor = cursor.replace(b'=', b'%3D')
+
+        # If both pytorch and safetensors are available, download safetensors only
+        if (has_pytorch or has_pt) and has_safetensors:
+            for i in range(len(classifications) - 1, -1, -1):
+                if classifications[i] in ['pytorch', 'pt']:
+                    links.pop(i)
+
+        # For GGUF, try to download only the Q4_K_M if no specific file is specified.
+        # If not present, exclude all GGUFs, as that's likely a repository with both
+        # GGUF and fp16 files.
+        if has_gguf and specific_file is None:
+            has_q4km = False
+            for i in range(len(classifications) - 1, -1, -1):
+                if 'q4_k_m' in links[i].lower():
+                    has_q4km = True
+
+            if has_q4km:
+                for i in range(len(classifications) - 1, -1, -1):
+                    if 'q4_k_m' not in links[i].lower():
+                        links.pop(i)
+            else:
+                for i in range(len(classifications) - 1, -1, -1):
+                    if links[i].lower().endswith('.gguf'):
+                        links.pop(i)
+
+        is_llamacpp = has_gguf and specific_file is not None
+        return links, sha256, is_lora, is_llamacpp
+
+    def get_output_folder(self, model, branch, is_lora, is_llamacpp=False, base_folder=None):
+        if base_folder is None:
+            base_folder = 'models' if not is_lora else 'loras'
+
+        # If the model is of type GGUF, save directly in the base_folder
+        if is_llamacpp:
+            return Path(base_folder)
+
+        output_folder = f"{'_'.join(model.split('/')[-2:])}"
+        if branch != 'main':
+            output_folder += f'_{branch}'
+
+        output_folder = Path(base_folder) / output_folder
+        return output_folder
+
+    def get_single_file(self, url, output_folder, start_from_scratch=False):
+        filename = Path(url.rsplit('/', 1)[1])
+        output_path = output_folder / filename
+        headers = {}
+        mode = 'wb'
+        if output_path.exists() and not start_from_scratch:
+
+            # Check if the file has already been downloaded completely
+            r = self.session.get(url, stream=True, timeout=10)
+            total_size = int(r.headers.get('content-length', 0))
+            if output_path.stat().st_size >= total_size:
+                return
+
+            # Otherwise, resume the download from where it left off
+            headers = {'Range': f'bytes={output_path.stat().st_size}-'}
+            mode = 'ab'
+
+        with self.session.get(url, stream=True, headers=headers, timeout=10) as r:
+            r.raise_for_status()  # Do not continue the download if the request was unsuccessful
+            total_size = int(r.headers.get('content-length', 0))
+            block_size = 1024 * 1024  # 1MB
+
+            tqdm_kwargs = {
+                'total': total_size,
+                'unit': 'iB',
+                'unit_scale': True,
+                'bar_format': '{l_bar}{bar}| {n_fmt:6}/{total_fmt:6} {rate_fmt:6}'
+            }
+
+            if 'COLAB_GPU' in os.environ:
+                tqdm_kwargs.update({
+                    'position': 0,
+                    'leave': True
+                })
+
+            with open(output_path, mode) as f:
+                with tqdm.tqdm(**tqdm_kwargs) as t:
+                    count = 0
+                    for data in r.iter_content(block_size):
+                        t.update(len(data))
+                        f.write(data)
+                        if total_size != 0 and self.progress_bar is not None:
+                            count += len(data)
+                            self.progress_bar(float(count) / float(total_size), f"{filename}")
+
+    def start_download_threads(self, file_list, output_folder, start_from_scratch=False, threads=4):
+        thread_map(lambda url: self.get_single_file(url, output_folder, start_from_scratch=start_from_scratch), file_list, max_workers=threads, disable=True)
+
+    def download_model_files(self, model, branch, links, sha256, output_folder, progress_bar=None, start_from_scratch=False, threads=4, specific_file=None, is_llamacpp=False):
+        self.progress_bar = progress_bar
+
+        # Create the folder and writing the metadata
+        output_folder.mkdir(parents=True, exist_ok=True)
+
+        if not is_llamacpp:
+            metadata = f'url: https://huggingface.co/{model}\n' \
+                       f'branch: {branch}\n' \
+                       f'download date: {datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")}\n'
+
+            sha256_str = '\n'.join([f'    {item[1]} {item[0]}' for item in sha256])
+            if sha256_str:
+                metadata += f'sha256sum:\n{sha256_str}'
+
+            metadata += '\n'
+            (output_folder / 'huggingface-metadata.txt').write_text(metadata)
+
+        if specific_file:
+            print(f"Downloading {specific_file} to {output_folder}")
+        else:
+            print(f"Downloading the model to {output_folder}")
+
+        self.start_download_threads(links, output_folder, start_from_scratch=start_from_scratch, threads=threads)
+
+    def check_model_files(self, model, branch, links, sha256, output_folder):
+        # Validate the checksums
+        validated = True
+        for i in range(len(sha256)):
+            fpath = (output_folder / sha256[i][0])
+
+            if not fpath.exists():
+                print(f"The following file is missing: {fpath}")
+                validated = False
+                continue
+
+            with open(output_folder / sha256[i][0], "rb") as f:
+                file_hash = hashlib.file_digest(f, "sha256").hexdigest()
+                if file_hash != sha256[i][1]:
+                    print(f'Checksum failed: {sha256[i][0]}  {sha256[i][1]}')
+                    validated = False
+                else:
+                    print(f'Checksum validated: {sha256[i][0]}  {sha256[i][1]}')
+
+        if validated:
+            print('[+] Validated checksums of all model files!')
+        else:
+            print('[-] Invalid checksums. Rerun download-model.py with the --clean flag.')
+
+
+if __name__ == '__main__':
+
+    parser = argparse.ArgumentParser()
+    parser.add_argument('MODEL', type=str, default=None, nargs='?')
+    parser.add_argument('--branch', type=str, default='main', help='Name of the Git branch to download from.')
+    parser.add_argument('--threads', type=int, default=4, help='Number of files to download simultaneously.')
+    parser.add_argument('--text-only', action='store_true', help='Only download text files (txt/json).')
+    parser.add_argument('--specific-file', type=str, default=None, help='Name of the specific file to download (if not provided, downloads all).')
+    parser.add_argument('--output', type=str, default=None, help='The folder where the model should be saved.')
+    parser.add_argument('--clean', action='store_true', help='Does not resume the previous download.')
+    parser.add_argument('--check', action='store_true', help='Validates the checksums of model files.')
+    parser.add_argument('--max-retries', type=int, default=5, help='Max retries count when get error in download time.')
+    args = parser.parse_args()
+
+    branch = args.branch
+    model = args.MODEL
+    specific_file = args.specific_file
+
+    if model is None:
+        print("Error: Please specify the model you'd like to download (e.g. 'python download-model.py facebook/opt-1.3b').")
+        sys.exit()
+
+    downloader = ModelDownloader(max_retries=args.max_retries)
+    # Clean up the model/branch names
+    try:
+        model, branch = downloader.sanitize_model_and_branch_names(model, branch)
+    except ValueError as err_branch:
+        print(f"Error: {err_branch}")
+        sys.exit()
+
+    # Get the download links from Hugging Face
+    links, sha256, is_lora, is_llamacpp = downloader.get_download_links_from_huggingface(model, branch, text_only=args.text_only, specific_file=specific_file)
+
+    # Get the output folder
+    output_folder = downloader.get_output_folder(model, branch, is_lora, is_llamacpp=is_llamacpp, base_folder=args.output)
+
+    if args.check:
+        # Check previously downloaded files
+        downloader.check_model_files(model, branch, links, sha256, output_folder)
+    else:
+        # Download files
+        downloader.download_model_files(model, branch, links, sha256, output_folder, specific_file=specific_file, threads=args.threads, is_llamacpp=is_llamacpp)

one_click.py

@@ -0,0 +1,399 @@
+import argparse
+import glob
+import hashlib
+import os
+import platform
+import re
+import signal
+import site
+import subprocess
+import sys
+
+script_dir = os.getcwd()
+conda_env_path = os.path.join(script_dir, "installer_files", "env")
+
+# Remove the '# ' from the following lines as needed for your AMD GPU on Linux
+# os.environ["ROCM_PATH"] = '/opt/rocm'
+# os.environ["HSA_OVERRIDE_GFX_VERSION"] = '10.3.0'
+# os.environ["HCC_AMDGPU_TARGET"] = 'gfx1030'
+
+# Command-line flags
+cmd_flags_path = os.path.join(script_dir, "CMD_FLAGS.txt")
+if os.path.exists(cmd_flags_path):
+    with open(cmd_flags_path, 'r') as f:
+        CMD_FLAGS = ' '.join(line.strip().rstrip('\\').strip() for line in f if line.strip().rstrip('\\').strip() and not line.strip().startswith('#'))
+else:
+    CMD_FLAGS = ''
+
+flags = f"{' '.join([flag for flag in sys.argv[1:] if flag != '--update'])} {CMD_FLAGS}"
+
+
+def signal_handler(sig, frame):
+    sys.exit(0)
+
+
+signal.signal(signal.SIGINT, signal_handler)
+
+
+def is_linux():
+    return sys.platform.startswith("linux")
+
+
+def is_windows():
+    return sys.platform.startswith("win")
+
+
+def is_macos():
+    return sys.platform.startswith("darwin")
+
+
+def is_x86_64():
+    return platform.machine() == "x86_64"
+
+
+def cpu_has_avx2():
+    try:
+        import cpuinfo
+
+        info = cpuinfo.get_cpu_info()
+        if 'avx2' in info['flags']:
+            return True
+        else:
+            return False
+    except:
+        return True
+
+
+def cpu_has_amx():
+    try:
+        import cpuinfo
+
+        info = cpuinfo.get_cpu_info()
+        if 'amx' in info['flags']:
+            return True
+        else:
+            return False
+    except:
+        return True
+
+
+def torch_version():
+    site_packages_path = None
+    for sitedir in site.getsitepackages():
+        if "site-packages" in sitedir and conda_env_path in sitedir:
+            site_packages_path = sitedir
+            break
+
+    if site_packages_path:
+        torch_version_file = open(os.path.join(site_packages_path, 'torch', 'version.py')).read().splitlines()
+        torver = [line for line in torch_version_file if '__version__' in line][0].split('__version__ = ')[1].strip("'")
+    else:
+        from torch import __version__ as torver
+
+    return torver
+
+
+def is_installed():
+    site_packages_path = None
+    for sitedir in site.getsitepackages():
+        if "site-packages" in sitedir and conda_env_path in sitedir:
+            site_packages_path = sitedir
+            break
+
+    if site_packages_path:
+        return os.path.isfile(os.path.join(site_packages_path, 'torch', '__init__.py'))
+    else:
+        return os.path.isdir(conda_env_path)
+
+
+def check_env():
+    # If we have access to conda, we are probably in an environment
+    conda_exist = run_cmd("conda", environment=True, capture_output=True).returncode == 0
+    if not conda_exist:
+        print("Conda is not installed. Exiting...")
+        sys.exit(1)
+
+    # Ensure this is a new environment and not the base environment
+    if os.environ["CONDA_DEFAULT_ENV"] == "base":
+        print("Create an environment for this project and activate it. Exiting...")
+        sys.exit(1)
+
+
+def clear_cache():
+    run_cmd("conda clean -a -y", environment=True)
+    run_cmd("python -m pip cache purge", environment=True)
+
+
+def print_big_message(message):
+    message = message.strip()
+    lines = message.split('\n')
+    print("\n\n*******************************************************************")
+    for line in lines:
+        if line.strip() != '':
+            print("*", line)
+
+    print("*******************************************************************\n\n")
+
+
+def calculate_file_hash(file_path):
+    p = os.path.join(script_dir, file_path)
+    if os.path.isfile(p):
+        with open(p, 'rb') as f:
+            return hashlib.sha256(f.read()).hexdigest()
+    else:
+        return ''
+
+
+def run_cmd(cmd, assert_success=False, environment=False, capture_output=False, env=None):
+    # Use the conda environment
+    if environment:
+        if is_windows():
+            conda_bat_path = os.path.join(script_dir, "installer_files", "conda", "condabin", "conda.bat")
+            cmd = f'"{conda_bat_path}" activate "{conda_env_path}" >nul && {cmd}'
+        else:
+            conda_sh_path = os.path.join(script_dir, "installer_files", "conda", "etc", "profile.d", "conda.sh")
+            cmd = f'. "{conda_sh_path}" && conda activate "{conda_env_path}" && {cmd}'
+
+    # Run shell commands
+    result = subprocess.run(cmd, shell=True, capture_output=capture_output, env=env)
+
+    # Assert the command ran successfully
+    if assert_success and result.returncode != 0:
+        print(f"Command '{cmd}' failed with exit status code '{str(result.returncode)}'.\n\nExiting now.\nTry running the start/update script again.")
+        sys.exit(1)
+
+    return result
+
+
+def install_webui():
+    # Select your GPU, or choose to run in CPU mode
+    if "GPU_CHOICE" in os.environ:
+        choice = os.environ["GPU_CHOICE"].upper()
+        print_big_message(f"Selected GPU choice \"{choice}\" based on the GPU_CHOICE environment variable.")
+    else:
+        print()
+        print("What is your GPU?")
+        print()
+        print("A) NVIDIA")
+        print("B) AMD (Linux/MacOS only. Requires ROCm SDK 5.6 on Linux)")
+        print("C) Apple M Series")
+        print("D) Intel Arc (IPEX)")
+        print("N) None (I want to run models in CPU mode)")
+        print()
+
+        choice = input("Input> ").upper()
+        while choice not in 'ABCDN':
+            print("Invalid choice. Please try again.")
+            choice = input("Input> ").upper()
+
+    gpu_choice_to_name = {
+        "A": "NVIDIA",
+        "B": "AMD",
+        "C": "APPLE",
+        "D": "INTEL",
+        "N": "NONE"
+    }
+
+    selected_gpu = gpu_choice_to_name[choice]
+
+    if selected_gpu == "NONE":
+        with open(cmd_flags_path, 'r+') as cmd_flags_file:
+            if "--cpu" not in cmd_flags_file.read():
+                print_big_message("Adding the --cpu flag to CMD_FLAGS.txt.")
+                cmd_flags_file.write("\n--cpu")
+
+    # Find the proper Pytorch installation command
+    install_git = "conda install -y -k ninja git"
+    install_pytorch = "python -m pip install torch==2.1.* torchvision==0.16.* torchaudio==2.1.* "
+
+    use_cuda118 = "N"
+    if any((is_windows(), is_linux())) and selected_gpu == "NVIDIA":
+        if "USE_CUDA118" in os.environ:
+            use_cuda118 = "Y" if os.environ.get("USE_CUDA118", "").lower() in ("yes", "y", "true", "1", "t", "on") else "N"
+        else:
+            # Ask for CUDA version if using NVIDIA
+            print("\nDo you want to use CUDA 11.8 instead of 12.1? Only choose this option if your GPU is very old (Kepler or older).\nFor RTX and GTX series GPUs, say \"N\". If unsure, say \"N\".\n")
+            use_cuda118 = input("Input (Y/N)> ").upper().strip('"\'').strip()
+            while use_cuda118 not in 'YN':
+                print("Invalid choice. Please try again.")
+                use_cuda118 = input("Input> ").upper().strip('"\'').strip()
+
+        if use_cuda118 == 'Y':
+            print("CUDA: 11.8")
+            install_pytorch += "--index-url https://download.pytorch.org/whl/cu118"
+        else:
+            print("CUDA: 12.1")
+            install_pytorch += "--index-url https://download.pytorch.org/whl/cu121"
+    elif not is_macos() and selected_gpu == "AMD":
+        if is_linux():
+            install_pytorch += "--index-url https://download.pytorch.org/whl/rocm5.6"
+        else:
+            print("AMD GPUs are only supported on Linux. Exiting...")
+            sys.exit(1)
+    elif is_linux() and selected_gpu in ["APPLE", "NONE"]:
+        install_pytorch += "--index-url https://download.pytorch.org/whl/cpu"
+    elif selected_gpu == "INTEL":
+        install_pytorch = "python -m pip install torch==2.1.0a0 torchvision==0.16.0a0 torchaudio==2.1.0a0 intel-extension-for-pytorch==2.1.10 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/"
+
+    # Install Git and then Pytorch
+    print_big_message("Installing PyTorch.")
+    run_cmd(f"{install_git} && {install_pytorch} && python -m pip install py-cpuinfo==9.0.0", assert_success=True, environment=True)
+
+    # Install CUDA libraries (this wasn't necessary for Pytorch before...)
+    if selected_gpu == "NVIDIA":
+        print_big_message("Installing the CUDA runtime libraries.")
+        run_cmd(f"conda install -y -c \"nvidia/label/{'cuda-12.1.1' if use_cuda118 == 'N' else 'cuda-11.8.0'}\" cuda-runtime", assert_success=True, environment=True)
+
+    if selected_gpu == "INTEL":
+        # Install oneAPI dependencies via conda
+        print_big_message("Installing Intel oneAPI runtime libraries.")
+        run_cmd("conda install -y -c intel dpcpp-cpp-rt=2024.0 mkl-dpcpp=2024.0")
+        # Install libuv required by Intel-patched torch
+        run_cmd("conda install -y libuv")
+
+    # Install the webui requirements
+    update_requirements(initial_installation=True)
+
+
+def update_requirements(initial_installation=False):
+    # Create .git directory if missing
+    if not os.path.exists(os.path.join(script_dir, ".git")):
+        git_creation_cmd = 'git init -b main && git remote add origin https://github.com/oobabooga/text-generation-webui && git fetch && git symbolic-ref refs/remotes/origin/HEAD refs/remotes/origin/main && git reset --hard origin/main && git branch --set-upstream-to=origin/main'
+        run_cmd(git_creation_cmd, environment=True, assert_success=True)
+
+    files_to_check = [
+        'start_linux.sh', 'start_macos.sh', 'start_windows.bat', 'start_wsl.bat',
+        'update_linux.sh', 'update_macos.sh', 'update_windows.bat', 'update_wsl.bat',
+        'one_click.py'
+    ]
+
+    before_pull_hashes = {file_name: calculate_file_hash(file_name) for file_name in files_to_check}
+    run_cmd("git pull --autostash", assert_success=True, environment=True)
+    after_pull_hashes = {file_name: calculate_file_hash(file_name) for file_name in files_to_check}
+
+    # Check for differences in installation file hashes
+    for file_name in files_to_check:
+        if before_pull_hashes[file_name] != after_pull_hashes[file_name]:
+            print_big_message(f"File '{file_name}' was updated during 'git pull'. Please run the script again.")
+            exit(1)
+
+    # Extensions requirements are installed only during the initial install by default.
+    # That can be changed with the INSTALL_EXTENSIONS environment variable.
+    install = initial_installation
+    if "INSTALL_EXTENSIONS" in os.environ:
+        install = os.environ["INSTALL_EXTENSIONS"].lower() in ("yes", "y", "true", "1", "t", "on")
+
+    if install:
+        print_big_message("Installing extensions requirements.")
+        skip = ['superbooga', 'superboogav2', 'coqui_tts']  # Fail to install on Windows
+        extensions = [foldername for foldername in os.listdir('extensions') if os.path.isfile(os.path.join('extensions', foldername, 'requirements.txt'))]
+        extensions = [x for x in extensions if x not in skip]
+        for i, extension in enumerate(extensions):
+            print(f"\n\n--- [{i+1}/{len(extensions)}]: {extension}\n\n")
+            extension_req_path = os.path.join("extensions", extension, "requirements.txt")
+            run_cmd(f"python -m pip install -r {extension_req_path} --upgrade", assert_success=False, environment=True)
+    elif initial_installation:
+        print_big_message("Will not install extensions due to INSTALL_EXTENSIONS environment variable.")
+
+    # Detect the Python and PyTorch versions
+    torver = torch_version()
+    is_cuda = '+cu' in torver
+    is_cuda118 = '+cu118' in torver  # 2.1.0+cu118
+    is_rocm = '+rocm' in torver  # 2.0.1+rocm5.4.2
+    is_intel = '+cxx11' in torver  # 2.0.1a0+cxx11.abi
+    is_cpu = '+cpu' in torver  # 2.0.1+cpu
+
+    if is_rocm:
+        base_requirements = "requirements_amd" + ("_noavx2" if not cpu_has_avx2() else "") + ".txt"
+    elif is_cpu or is_intel:
+        base_requirements = "requirements_cpu_only" + ("_noavx2" if not cpu_has_avx2() else "") + ".txt"
+    elif is_macos():
+        base_requirements = "requirements_apple_" + ("intel" if is_x86_64() else "silicon") + ".txt"
+    else:
+        base_requirements = "requirements" + ("_noavx2" if not cpu_has_avx2() else "") + ".txt"
+
+    requirements_file = base_requirements
+
+    print_big_message(f"Installing webui requirements from file: {requirements_file}")
+    print(f"TORCH: {torver}\n")
+
+    # Prepare the requirements file
+    textgen_requirements = open(requirements_file).read().splitlines()
+    if is_cuda118:
+        textgen_requirements = [req.replace('+cu121', '+cu118').replace('+cu122', '+cu118') for req in textgen_requirements]
+    if is_windows() and is_cuda118:  # No flash-attention on Windows for CUDA 11
+        textgen_requirements = [req for req in textgen_requirements if 'jllllll/flash-attention' not in req]
+
+    with open('temp_requirements.txt', 'w') as file:
+        file.write('\n'.join(textgen_requirements))
+
+    # Workaround for git+ packages not updating properly.
+    git_requirements = [req for req in textgen_requirements if req.startswith("git+")]
+    for req in git_requirements:
+        url = req.replace("git+", "")
+        package_name = url.split("/")[-1].split("@")[0].rstrip(".git")
+        run_cmd(f"python -m pip uninstall -y {package_name}", environment=True)
+        print(f"Uninstalled {package_name}")
+
+    # Make sure that API requirements are installed (temporary)
+    extension_req_path = os.path.join("extensions", "openai", "requirements.txt")
+    if os.path.exists(extension_req_path):
+        run_cmd(f"python -m pip install -r {extension_req_path} --upgrade", environment=True)
+
+    # Install/update the project requirements
+    run_cmd("python -m pip install -r temp_requirements.txt --upgrade", assert_success=True, environment=True)
+    os.remove('temp_requirements.txt')
+
+    # Check for '+cu' or '+rocm' in version string to determine if torch uses CUDA or ROCm. Check for pytorch-cuda as well for backwards compatibility
+    if not any((is_cuda, is_rocm)) and run_cmd("conda list -f pytorch-cuda | grep pytorch-cuda", environment=True, capture_output=True).returncode == 1:
+        clear_cache()
+        return
+
+    if not os.path.exists("repositories/"):
+        os.mkdir("repositories")
+
+    clear_cache()
+
+
+def launch_webui():
+    run_cmd(f"python server.py {flags}", environment=True)
+
+
+if __name__ == "__main__":
+    # Verifies we are in a conda environment
+    check_env()
+
+    parser = argparse.ArgumentParser(add_help=False)
+    parser.add_argument('--update', action='store_true', help='Update the web UI.')
+    args, _ = parser.parse_known_args()
+
+    if args.update:
+        update_requirements()
+    else:
+        # If webui has already been installed, skip and run
+        if not is_installed():
+            install_webui()
+            os.chdir(script_dir)
+
+        if os.environ.get("LAUNCH_AFTER_INSTALL", "").lower() in ("no", "n", "false", "0", "f", "off"):
+            print_big_message("Install finished successfully and will now exit due to LAUNCH_AFTER_INSTALL.")
+            sys.exit()
+
+        # Check if a model has been downloaded yet
+        if '--model-dir' in flags:
+            # Splits on ' ' or '=' while maintaining spaces within quotes
+            flags_list = re.split(' +(?=(?:[^\"]*\"[^\"]*\")*[^\"]*$)|=', flags)
+            model_dir = [flags_list[(flags_list.index(flag) + 1)] for flag in flags_list if flag == '--model-dir'][0].strip('"\'')
+        else:
+            model_dir = 'models'
+
+        if len([item for item in glob.glob(f'{model_dir}/*') if not item.endswith(('.txt', '.yaml'))]) == 0:
+            print_big_message("WARNING: You haven't downloaded any model yet.\nOnce the web UI launches, head over to the \"Model\" tab and download one.")
+
+        # Workaround for llama-cpp-python loading paths in CUDA env vars even if they do not exist
+        conda_path_bin = os.path.join(conda_env_path, "bin")
+        if not os.path.exists(conda_path_bin):
+            os.mkdir(conda_path_bin)
+
+        # Launch the webui
+        launch_webui()

requirements.txt

@@ -0,0 +1,67 @@
+accelerate==0.25.*
+colorama
+datasets
+einops
+exllamav2==0.0.12; platform_system != "Darwin" and platform_machine != "x86_64"
+gradio==3.50.*
+hqq==0.1.2.post1
+jinja2==3.1.2
+lm_eval==0.3.0
+markdown
+numpy==1.24.*
+optimum==1.16.*
+pandas
+peft==0.7.*
+Pillow>=9.5.0
+pyyaml
+requests
+rich
+safetensors==0.4.*
+scipy
+sentencepiece
+tensorboard
+transformers==4.37.*
+tqdm
+wandb
+
+# bitsandbytes
+bitsandbytes==0.41.1; platform_system != "Windows"
+https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl; platform_system == "Windows"
+
+# llama-cpp-python (CPU only, AVX2)
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx2-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx2-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx2-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx2-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
+
+# llama-cpp-python (CUDA, no tensor cores)
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.38+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.38+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.38+cu121-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.38+cu121-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+
+# llama-cpp-python (CUDA, tensor cores)
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.38+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.38+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.38+cu121-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.38+cu121-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+
+# CUDA wheels
+https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
+https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
+https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/turboderp/exllamav2/releases/download/v0.0.12/exllamav2-0.0.12+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
+https://github.com/turboderp/exllamav2/releases/download/v0.0.12/exllamav2-0.0.12+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
+https://github.com/turboderp/exllamav2/releases/download/v0.0.12/exllamav2-0.0.12+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/turboderp/exllamav2/releases/download/v0.0.12/exllamav2-0.0.12+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/jllllll/flash-attention/releases/download/v2.3.4/flash_attn-2.3.4+cu121torch2.1cxx11abiFALSE-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
+https://github.com/jllllll/flash-attention/releases/download/v2.3.4/flash_attn-2.3.4+cu121torch2.1cxx11abiFALSE-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
+https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.4/flash_attn-2.3.4+cu122torch2.1cxx11abiFALSE-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.4/flash_attn-2.3.4+cu122torch2.1cxx11abiFALSE-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
+https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
+https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/jllllll/ctransformers-cuBLAS-wheels/releases/download/AVX2/ctransformers-0.2.27+cu121-py3-none-any.whl
+autoawq==0.1.8; platform_system == "Linux" or platform_system == "Windows"

requirements_amd.txt

@@ -0,0 +1,45 @@
+accelerate==0.25.*
+colorama
+datasets
+einops
+exllamav2==0.0.12; platform_system == "Windows" or python_version < "3.10" or python_version > "3.11" or platform_machine != "x86_64"
+gradio==3.50.*
+hqq==0.1.2.post1
+jinja2==3.1.2
+lm_eval==0.3.0
+markdown
+numpy==1.24.*
+optimum==1.16.*
+pandas
+peft==0.7.*
+Pillow>=9.5.0
+pyyaml
+requests
+rich
+safetensors==0.4.*
+scipy
+sentencepiece
+tensorboard
+transformers==4.37.*
+tqdm
+wandb
+
+# bitsandbytes
+bitsandbytes==0.38.1; platform_system != "Windows"
+https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.38.1-py3-none-win_amd64.whl; platform_system == "Windows"
+
+# llama-cpp-python (CPU only, AVX2)
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx2-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx2-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx2-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx2-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
+
+# AMD wheels
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/rocm/llama_cpp_python_cuda-0.2.38+rocm5.6.1-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/rocm/llama_cpp_python_cuda-0.2.38+rocm5.6.1-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/turboderp/exllamav2/releases/download/v0.0.12/exllamav2-0.0.12+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/turboderp/exllamav2/releases/download/v0.0.12/exllamav2-0.0.12+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"

requirements_amd_noavx2.txt

@@ -0,0 +1,43 @@
+accelerate==0.25.*
+colorama
+datasets
+einops
+exllamav2==0.0.12; platform_system == "Windows" or python_version < "3.10" or python_version > "3.11" or platform_machine != "x86_64"
+gradio==3.50.*
+hqq==0.1.2.post1
+jinja2==3.1.2
+lm_eval==0.3.0
+markdown
+numpy==1.24.*
+optimum==1.16.*
+pandas
+peft==0.7.*
+Pillow>=9.5.0
+pyyaml
+requests
+rich
+safetensors==0.4.*
+scipy
+sentencepiece
+tensorboard
+transformers==4.37.*
+tqdm
+wandb
+
+# bitsandbytes
+bitsandbytes==0.38.1; platform_system != "Windows"
+https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.38.1-py3-none-win_amd64.whl; platform_system == "Windows"
+
+# llama-cpp-python (CPU only, no AVX2)
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
+
+# AMD wheels
+https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/turboderp/exllamav2/releases/download/v0.0.12/exllamav2-0.0.12+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/turboderp/exllamav2/releases/download/v0.0.12/exllamav2-0.0.12+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"

requirements_apple_intel.txt

@@ -0,0 +1,37 @@
+accelerate==0.25.*
+colorama
+datasets
+einops
+exllamav2==0.0.12
+gradio==3.50.*
+hqq==0.1.2.post1
+jinja2==3.1.2
+lm_eval==0.3.0
+markdown
+numpy==1.24.*
+optimum==1.16.*
+pandas
+peft==0.7.*
+Pillow>=9.5.0
+pyyaml
+requests
+rich
+safetensors==0.4.*
+scipy
+sentencepiece
+tensorboard
+transformers==4.37.*
+tqdm
+wandb
+
+# bitsandbytes
+bitsandbytes==0.41.1; platform_system != "Windows"
+https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl; platform_system == "Windows"
+
+# Mac wheels
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.38-cp311-cp311-macosx_11_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.38-cp310-cp310-macosx_11_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.10"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.38-cp311-cp311-macosx_12_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.38-cp310-cp310-macosx_12_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.10"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.38-cp311-cp311-macosx_14_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.38-cp310-cp310-macosx_14_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.10"

requirements_apple_silicon.txt

@@ -0,0 +1,39 @@
+accelerate==0.25.*
+colorama
+datasets
+einops
+exllamav2==0.0.12
+gradio==3.50.*
+hqq==0.1.2.post1
+jinja2==3.1.2
+lm_eval==0.3.0
+markdown
+numpy==1.24.*
+optimum==1.16.*
+pandas
+peft==0.7.*
+Pillow>=9.5.0
+pyyaml
+requests
+rich
+safetensors==0.4.*
+scipy
+sentencepiece
+tensorboard
+transformers==4.37.*
+tqdm
+wandb
+
+# bitsandbytes
+bitsandbytes==0.41.1; platform_system != "Windows"
+https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl; platform_system == "Windows"
+
+# Mac wheels
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.38-cp311-cp311-macosx_11_0_arm64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.38-cp310-cp310-macosx_11_0_arm64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.10"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.38-cp311-cp311-macosx_12_0_arm64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.38-cp310-cp310-macosx_12_0_arm64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.10"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.38-cp311-cp311-macosx_13_0_arm64.whl; platform_system == "Darwin" and platform_release >= "22.0.0" and platform_release < "23.0.0" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.38-cp310-cp310-macosx_13_0_arm64.whl; platform_system == "Darwin" and platform_release >= "22.0.0" and platform_release < "23.0.0" and python_version == "3.10"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.38-cp311-cp311-macosx_14_0_arm64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.38-cp310-cp310-macosx_14_0_arm64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.10"

requirements_cpu_only.txt

@@ -0,0 +1,35 @@
+accelerate==0.25.*
+colorama
+datasets
+einops
+exllamav2==0.0.12
+gradio==3.50.*
+hqq==0.1.2.post1
+jinja2==3.1.2
+lm_eval==0.3.0
+markdown
+numpy==1.24.*
+optimum==1.16.*
+pandas
+peft==0.7.*
+Pillow>=9.5.0
+pyyaml
+requests
+rich
+safetensors==0.4.*
+scipy
+sentencepiece
+tensorboard
+transformers==4.37.*
+tqdm
+wandb
+
+# bitsandbytes
+bitsandbytes==0.41.1; platform_system != "Windows"
+https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl; platform_system == "Windows"
+
+# llama-cpp-python (CPU only, AVX2)
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx2-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx2-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx2-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx2-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"

requirements_cpu_only_noavx2.txt

@@ -0,0 +1,35 @@
+accelerate==0.25.*
+colorama
+datasets
+einops
+exllamav2==0.0.12
+gradio==3.50.*
+hqq==0.1.2.post1
+jinja2==3.1.2
+lm_eval==0.3.0
+markdown
+numpy==1.24.*
+optimum==1.16.*
+pandas
+peft==0.7.*
+Pillow>=9.5.0
+pyyaml
+requests
+rich
+safetensors==0.4.*
+scipy
+sentencepiece
+tensorboard
+transformers==4.37.*
+tqdm
+wandb
+
+# bitsandbytes
+bitsandbytes==0.41.1; platform_system != "Windows"
+https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl; platform_system == "Windows"
+
+# llama-cpp-python (CPU only, no AVX2)
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"

requirements_noavx2.txt

@@ -0,0 +1,67 @@
+accelerate==0.25.*
+colorama
+datasets
+einops
+exllamav2==0.0.12; platform_system != "Darwin" and platform_machine != "x86_64"
+gradio==3.50.*
+hqq==0.1.2.post1
+jinja2==3.1.2
+lm_eval==0.3.0
+markdown
+numpy==1.24.*
+optimum==1.16.*
+pandas
+peft==0.7.*
+Pillow>=9.5.0
+pyyaml
+requests
+rich
+safetensors==0.4.*
+scipy
+sentencepiece
+tensorboard
+transformers==4.37.*
+tqdm
+wandb
+
+# bitsandbytes
+bitsandbytes==0.41.1; platform_system != "Windows"
+https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl; platform_system == "Windows"
+
+# llama-cpp-python (CPU only, no AVX2)
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.38+cpuavx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
+
+# llama-cpp-python (CUDA, no tensor cores)
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.38+cu121avx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.38+cu121avx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.38+cu121avx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.38+cu121avx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+
+# llama-cpp-python (CUDA, tensor cores)
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.38+cu121avx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.38+cu121avx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.38+cu121avx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.38+cu121avx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+
+# CUDA wheels
+https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
+https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
+https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/turboderp/exllamav2/releases/download/v0.0.12/exllamav2-0.0.12+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
+https://github.com/turboderp/exllamav2/releases/download/v0.0.12/exllamav2-0.0.12+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
+https://github.com/turboderp/exllamav2/releases/download/v0.0.12/exllamav2-0.0.12+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/turboderp/exllamav2/releases/download/v0.0.12/exllamav2-0.0.12+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/jllllll/flash-attention/releases/download/v2.3.4/flash_attn-2.3.4+cu121torch2.1cxx11abiFALSE-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
+https://github.com/jllllll/flash-attention/releases/download/v2.3.4/flash_attn-2.3.4+cu121torch2.1cxx11abiFALSE-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
+https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.4/flash_attn-2.3.4+cu122torch2.1cxx11abiFALSE-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.4/flash_attn-2.3.4+cu122torch2.1cxx11abiFALSE-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
+https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
+https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
+https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
+https://github.com/jllllll/ctransformers-cuBLAS-wheels/releases/download/AVX/ctransformers-0.2.27+cu121-py3-none-any.whl
+autoawq==0.1.8; platform_system == "Linux" or platform_system == "Windows"

requirements_nowheels.txt

@@ -0,0 +1,29 @@
+accelerate==0.25.*
+colorama
+datasets
+einops
+exllamav2==0.0.12
+gradio==3.50.*
+hqq==0.1.2.post1
+jinja2==3.1.2
+lm_eval==0.3.0
+markdown
+numpy==1.24.*
+optimum==1.16.*
+pandas
+peft==0.7.*
+Pillow>=9.5.0
+pyyaml
+requests
+rich
+safetensors==0.4.*
+scipy
+sentencepiece
+tensorboard
+transformers==4.37.*
+tqdm
+wandb
+
+# bitsandbytes
+bitsandbytes==0.41.1; platform_system != "Windows"
+https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl; platform_system == "Windows"

server.py

@@ -0,0 +1,262 @@
+import os
+import warnings
+
+from modules import shared
+
+import accelerate  # This early import makes Intel GPUs happy
+
+import modules.one_click_installer_check
+from modules.block_requests import OpenMonkeyPatch, RequestBlocker
+from modules.logging_colors import logger
+
+os.environ['GRADIO_ANALYTICS_ENABLED'] = 'False'
+os.environ['BITSANDBYTES_NOWELCOME'] = '1'
+warnings.filterwarnings('ignore', category=UserWarning, message='TypedStorage is deprecated')
+warnings.filterwarnings('ignore', category=UserWarning, message='Using the update method is deprecated')
+warnings.filterwarnings('ignore', category=UserWarning, message='Field "model_name" has conflict')
+warnings.filterwarnings('ignore', category=UserWarning, message='The value passed into gr.Dropdown()')
+warnings.filterwarnings('ignore', category=UserWarning, message='Field "model_names" has conflict')
+
+with RequestBlocker():
+    import gradio as gr
+
+import matplotlib
+
+matplotlib.use('Agg')  # This fixes LaTeX rendering on some systems
+
+import json
+import os
+import signal
+import sys
+import time
+from functools import partial
+from pathlib import Path
+from threading import Lock
+
+import yaml
+
+import modules.extensions as extensions_module
+from modules import (
+    chat,
+    training,
+    ui,
+    ui_chat,
+    ui_default,
+    ui_file_saving,
+    ui_model_menu,
+    ui_notebook,
+    ui_parameters,
+    ui_session,
+    utils
+)
+from modules.extensions import apply_extensions
+from modules.LoRA import add_lora_to_model
+from modules.models import load_model
+from modules.models_settings import (
+    get_fallback_settings,
+    get_model_metadata,
+    update_model_parameters
+)
+from modules.shared import do_cmd_flags_warnings
+from modules.utils import gradio
+
+
+def signal_handler(sig, frame):
+    logger.info("Received Ctrl+C. Shutting down Text generation web UI gracefully.")
+    sys.exit(0)
+
+
+signal.signal(signal.SIGINT, signal_handler)
+
+
+def create_interface():
+
+    title = 'Text generation web UI'
+
+    # Password authentication
+    auth = []
+    if shared.args.gradio_auth:
+        auth.extend(x.strip() for x in shared.args.gradio_auth.strip('"').replace('\n', '').split(',') if x.strip())
+    if shared.args.gradio_auth_path:
+        with open(shared.args.gradio_auth_path, 'r', encoding="utf8") as file:
+            auth.extend(x.strip() for line in file for x in line.split(',') if x.strip())
+    auth = [tuple(cred.split(':')) for cred in auth]
+
+    # Import the extensions and execute their setup() functions
+    if shared.args.extensions is not None and len(shared.args.extensions) > 0:
+        extensions_module.load_extensions()
+
+    # Force some events to be triggered on page load
+    shared.persistent_interface_state.update({
+        'loader': shared.args.loader or 'Transformers',
+        'mode': shared.settings['mode'],
+        'character_menu': shared.args.character or shared.settings['character'],
+        'instruction_template_str': shared.settings['instruction_template_str'],
+        'prompt_menu-default': shared.settings['prompt-default'],
+        'prompt_menu-notebook': shared.settings['prompt-notebook'],
+        'filter_by_loader': shared.args.loader or 'All'
+    })
+
+    if Path("cache/pfp_character.png").exists():
+        Path("cache/pfp_character.png").unlink()
+
+    # css/js strings
+    css = ui.css
+    js = ui.js
+    css += apply_extensions('css')
+    js += apply_extensions('js')
+
+    # Interface state elements
+    shared.input_elements = ui.list_interface_input_elements()
+
+    with gr.Blocks(css=css, analytics_enabled=False, title=title, theme=ui.theme) as shared.gradio['interface']:
+
+        # Interface state
+        shared.gradio['interface_state'] = gr.State({k: None for k in shared.input_elements})
+
+        # Audio notification
+        if Path("notification.mp3").exists():
+            shared.gradio['audio_notification'] = gr.Audio(interactive=False, value="notification.mp3", elem_id="audio_notification", visible=False)
+
+        # Floating menus for saving/deleting files
+        ui_file_saving.create_ui()
+
+        # Temporary clipboard for saving files
+        shared.gradio['temporary_text'] = gr.Textbox(visible=False)
+
+        # Text Generation tab
+        ui_chat.create_ui()
+        ui_default.create_ui()
+        ui_notebook.create_ui()
+
+        ui_parameters.create_ui(shared.settings['preset'])  # Parameters tab
+        ui_model_menu.create_ui()  # Model tab
+        training.create_ui()  # Training tab
+        ui_session.create_ui()  # Session tab
+
+        # Generation events
+        ui_chat.create_event_handlers()
+        ui_default.create_event_handlers()
+        ui_notebook.create_event_handlers()
+
+        # Other events
+        ui_file_saving.create_event_handlers()
+        ui_parameters.create_event_handlers()
+        ui_model_menu.create_event_handlers()
+
+        # Interface launch events
+        if shared.settings['dark_theme']:
+            shared.gradio['interface'].load(lambda: None, None, None, _js="() => document.getElementsByTagName('body')[0].classList.add('dark')")
+
+        shared.gradio['interface'].load(lambda: None, None, None, _js=f"() => {{{js}}}")
+        shared.gradio['interface'].load(None, gradio('show_controls'), None, _js=f'(x) => {{{ui.show_controls_js}; toggle_controls(x)}}')
+        shared.gradio['interface'].load(partial(ui.apply_interface_values, {}, use_persistent=True), None, gradio(ui.list_interface_input_elements()), show_progress=False)
+        shared.gradio['interface'].load(chat.redraw_html, gradio(ui_chat.reload_arr), gradio('display'))
+
+        extensions_module.create_extensions_tabs()  # Extensions tabs
+        extensions_module.create_extensions_block()  # Extensions block
+
+    # Launch the interface
+    shared.gradio['interface'].queue(concurrency_count=64)
+    with OpenMonkeyPatch():
+        shared.gradio['interface'].launch(
+            prevent_thread_lock=True,
+            share=True,
+            server_name=None if not shared.args.listen else (shared.args.listen_host or '0.0.0.0'),
+            server_port=shared.args.listen_port,
+            inbrowser=shared.args.auto_launch,
+            auth=auth or None,
+            ssl_verify=False if (shared.args.ssl_keyfile or shared.args.ssl_certfile) else True,
+            ssl_keyfile=shared.args.ssl_keyfile,
+            ssl_certfile=shared.args.ssl_certfile
+        )
+
+
+if __name__ == "__main__":
+
+    logger.info("Starting Text generation web UI")
+    do_cmd_flags_warnings()
+
+    # Load custom settings
+    settings_file = None
+    if shared.args.settings is not None and Path(shared.args.settings).exists():
+        settings_file = Path(shared.args.settings)
+    elif Path('settings.yaml').exists():
+        settings_file = Path('settings.yaml')
+    elif Path('settings.json').exists():
+        settings_file = Path('settings.json')
+
+    if settings_file is not None:
+        logger.info(f"Loading settings from {settings_file}")
+        file_contents = open(settings_file, 'r', encoding='utf-8').read()
+        new_settings = json.loads(file_contents) if settings_file.suffix == "json" else yaml.safe_load(file_contents)
+        shared.settings.update(new_settings)
+
+    # Fallback settings for models
+    shared.model_config['.*'] = get_fallback_settings()
+    shared.model_config.move_to_end('.*', last=False)  # Move to the beginning
+
+    # Activate the extensions listed on settings.yaml
+    extensions_module.available_extensions = utils.get_available_extensions()
+    for extension in shared.settings['default_extensions']:
+        shared.args.extensions = shared.args.extensions or []
+        if extension not in shared.args.extensions:
+            shared.args.extensions.append(extension)
+
+    available_models = utils.get_available_models()
+
+    # Model defined through --model
+    if shared.args.model is not None:
+        shared.model_name = shared.args.model
+
+    # Select the model from a command-line menu
+    elif shared.args.model_menu:
+        if len(available_models) == 0:
+            logger.error('No models are available! Please download at least one.')
+            sys.exit(0)
+        else:
+            print('The following models are available:\n')
+            for i, model in enumerate(available_models):
+                print(f'{i+1}. {model}')
+
+            print(f'\nWhich one do you want to load? 1-{len(available_models)}\n')
+            i = int(input()) - 1
+            print()
+
+        shared.model_name = available_models[i]
+
+    # If any model has been selected, load it
+    if shared.model_name != 'None':
+        p = Path(shared.model_name)
+        if p.exists():
+            model_name = p.parts[-1]
+            shared.model_name = model_name
+        else:
+            model_name = shared.model_name
+
+        model_settings = get_model_metadata(model_name)
+        update_model_parameters(model_settings, initial=True)  # hijack the command-line arguments
+
+        # Load the model
+        shared.model, shared.tokenizer = load_model(model_name)
+        if shared.args.lora:
+            add_lora_to_model(shared.args.lora)
+
+    shared.generation_lock = Lock()
+
+    if shared.args.nowebui:
+        # Start the API in standalone mode
+        shared.args.extensions = [x for x in shared.args.extensions if x != 'gallery']
+        if shared.args.extensions is not None and len(shared.args.extensions) > 0:
+            extensions_module.load_extensions()
+    else:
+        # Launch the web UI
+        create_interface()
+        while True:
+            time.sleep(0.5)
+            if shared.need_restart:
+                shared.need_restart = False
+                time.sleep(0.5)
+                shared.gradio['interface'].close()
+                time.sleep(0.5)
+                create_interface()

settings-template.yaml

@@ -0,0 +1,74 @@
+dark_theme: true
+show_controls: true
+start_with: ''
+mode: chat
+chat_style: cai-chat
+prompt-default: QA
+prompt-notebook: QA
+preset: simple-1
+max_new_tokens: 512
+max_new_tokens_min: 1
+max_new_tokens_max: 4096
+negative_prompt: ''
+seed: -1
+truncation_length: 2048
+truncation_length_min: 0
+truncation_length_max: 200000
+max_tokens_second: 0
+max_updates_second: 0
+prompt_lookup_num_tokens: 0
+custom_stopping_strings: ''
+custom_token_bans: ''
+auto_max_new_tokens: false
+ban_eos_token: false
+add_bos_token: true
+skip_special_tokens: true
+stream: true
+character: Assistant
+name1: You
+custom_system_message: ''
+instruction_template_str: |-
+  {%- set ns = namespace(found=false) -%}
+  {%- for message in messages -%}
+      {%- if message['role'] == 'system' -%}
+          {%- set ns.found = true -%}
+      {%- endif -%}
+  {%- endfor -%}
+  {%- if not ns.found -%}
+      {{- '' + 'Below is an instruction that describes a task. Write a response that appropriately completes the request.' + '\n\n' -}}
+  {%- endif %}
+  {%- for message in messages %}
+      {%- if message['role'] == 'system' -%}
+          {{- '' + message['content'] + '\n\n' -}}
+      {%- else -%}
+          {%- if message['role'] == 'user' -%}
+              {{-'### Instruction:\n' + message['content'] + '\n\n'-}}
+          {%- else -%}
+              {{-'### Response:\n' + message['content'] + '\n\n' -}}
+          {%- endif -%}
+      {%- endif -%}
+  {%- endfor -%}
+  {%- if add_generation_prompt -%}
+      {{-'### Response:\n'-}}
+  {%- endif -%}
+chat_template_str: |-
+  {%- for message in messages %}
+      {%- if message['role'] == 'system' -%}
+          {{- message['content'] + '\n\n' -}}
+      {%- else -%}
+          {%- if message['role'] == 'user' -%}
+              {{- name1 + ': ' + message['content'] + '\n'-}}
+          {%- else -%}
+              {{- name2 + ': ' + message['content'] + '\n' -}}
+          {%- endif -%}
+      {%- endif -%}
+  {%- endfor -%}
+chat-instruct_command: |-
+  Continue the chat dialogue below. Write a single reply for the character "<|character|>".
+
+  <|prompt|>
+autoload_model: false
+gallery-items_per_page: 50
+gallery-open: false
+default_extensions:
+- gallery

settings.yaml

@@ -0,0 +1,8 @@
+prompt-default: None
+prompt-notebook: None
+preset: Midnight Enigma
+truncation_length: 4096
+character: Devia
+default_extensions:
+- openai
+- gallery

setup.cfg

@@ -0,0 +1,3 @@
+[pycodestyle]
+max-line-length = 120
+ignore = E402, E501, E722

start_linux.sh

@@ -0,0 +1,67 @@
+#!/bin/bash
+
+cd "$(dirname "${BASH_SOURCE[0]}")"
+
+if [[ "$(pwd)" =~ " " ]]; then echo This script relies on Miniconda which can not be silently installed under a path with spaces. && exit; fi
+
+# deactivate existing conda envs as needed to avoid conflicts
+{ conda deactivate && conda deactivate && conda deactivate; } 2> /dev/null
+
+OS_ARCH=$(uname -m)
+case "${OS_ARCH}" in
+    x86_64*)    OS_ARCH="x86_64";;
+    arm64*)     OS_ARCH="aarch64";;
+    aarch64*)     OS_ARCH="aarch64";;
+    *)          echo "Unknown system architecture: $OS_ARCH! This script runs only on x86_64 or arm64" && exit
+esac
+
+# config
+INSTALL_DIR="$(pwd)/installer_files"
+CONDA_ROOT_PREFIX="$(pwd)/installer_files/conda"
+INSTALL_ENV_DIR="$(pwd)/installer_files/env"
+MINICONDA_DOWNLOAD_URL="https://repo.anaconda.com/miniconda/Miniconda3-py310_23.3.1-0-Linux-${OS_ARCH}.sh"
+conda_exists="F"
+
+# figure out whether git and conda needs to be installed
+if "$CONDA_ROOT_PREFIX/bin/conda" --version &>/dev/null; then conda_exists="T"; fi
+
+# (if necessary) install git and conda into a contained environment
+# download miniconda
+if [ "$conda_exists" == "F" ]; then
+    echo "Downloading Miniconda from $MINICONDA_DOWNLOAD_URL to $INSTALL_DIR/miniconda_installer.sh"
+
+    mkdir -p "$INSTALL_DIR"
+    curl -Lk "$MINICONDA_DOWNLOAD_URL" > "$INSTALL_DIR/miniconda_installer.sh"
+
+    chmod u+x "$INSTALL_DIR/miniconda_installer.sh"
+    bash "$INSTALL_DIR/miniconda_installer.sh" -b -p $CONDA_ROOT_PREFIX
+
+    # test the conda binary
+    echo "Miniconda version:"
+    "$CONDA_ROOT_PREFIX/bin/conda" --version
+fi
+
+# create the installer env
+if [ ! -e "$INSTALL_ENV_DIR" ]; then
+    "$CONDA_ROOT_PREFIX/bin/conda" create -y -k --prefix "$INSTALL_ENV_DIR" python=3.11
+fi
+
+# check if conda environment was actually created
+if [ ! -e "$INSTALL_ENV_DIR/bin/python" ]; then
+    echo "Conda environment is empty."
+    exit
+fi
+
+# environment isolation
+export PYTHONNOUSERSITE=1
+unset PYTHONPATH
+unset PYTHONHOME
+export CUDA_PATH="$INSTALL_ENV_DIR"
+export CUDA_HOME="$CUDA_PATH"
+
+# activate installer env
+source "$CONDA_ROOT_PREFIX/etc/profile.d/conda.sh" # otherwise conda complains about 'shell not initialized' (needed when running in a script)
+conda activate "$INSTALL_ENV_DIR"
+
+# setup installer env
+python one_click.py $@

start_macos.sh

@@ -0,0 +1,67 @@
+#!/bin/bash
+
+cd "$(dirname "${BASH_SOURCE[0]}")"
+
+if [[ "$(pwd)" =~ " " ]]; then echo This script relies on Miniconda which can not be silently installed under a path with spaces. && exit; fi
+
+# deactivate existing conda envs as needed to avoid conflicts
+{ conda deactivate && conda deactivate && conda deactivate; } 2> /dev/null
+
+# M Series or Intel
+OS_ARCH=$(uname -m)
+case "${OS_ARCH}" in
+    x86_64*)    OS_ARCH="x86_64";;
+    arm64*)     OS_ARCH="arm64";;
+    *)          echo "Unknown system architecture: $OS_ARCH! This script runs only on x86_64 or arm64" && exit
+esac
+
+# config
+INSTALL_DIR="$(pwd)/installer_files"
+CONDA_ROOT_PREFIX="$(pwd)/installer_files/conda"
+INSTALL_ENV_DIR="$(pwd)/installer_files/env"
+MINICONDA_DOWNLOAD_URL="https://repo.anaconda.com/miniconda/Miniconda3-py310_23.3.1-0-MacOSX-${OS_ARCH}.sh"
+conda_exists="F"
+
+# figure out whether git and conda needs to be installed
+if "$CONDA_ROOT_PREFIX/bin/conda" --version &>/dev/null; then conda_exists="T"; fi
+
+# (if necessary) install git and conda into a contained environment
+# download miniconda
+if [ "$conda_exists" == "F" ]; then
+    echo "Downloading Miniconda from $MINICONDA_DOWNLOAD_URL to $INSTALL_DIR/miniconda_installer.sh"
+
+    mkdir -p "$INSTALL_DIR"
+    curl -Lk "$MINICONDA_DOWNLOAD_URL" > "$INSTALL_DIR/miniconda_installer.sh"
+
+    chmod u+x "$INSTALL_DIR/miniconda_installer.sh"
+    bash "$INSTALL_DIR/miniconda_installer.sh" -b -p $CONDA_ROOT_PREFIX
+
+    # test the conda binary
+    echo "Miniconda version:"
+    "$CONDA_ROOT_PREFIX/bin/conda" --version
+fi
+
+# create the installer env
+if [ ! -e "$INSTALL_ENV_DIR" ]; then
+    "$CONDA_ROOT_PREFIX/bin/conda" create -y -k --prefix "$INSTALL_ENV_DIR" python=3.11
+fi
+
+# check if conda environment was actually created
+if [ ! -e "$INSTALL_ENV_DIR/bin/python" ]; then
+    echo "Conda environment is empty."
+    exit
+fi
+
+# environment isolation
+export PYTHONNOUSERSITE=1
+unset PYTHONPATH
+unset PYTHONHOME
+export CUDA_PATH="$INSTALL_ENV_DIR"
+export CUDA_HOME="$CUDA_PATH"
+
+# activate installer env
+source "$CONDA_ROOT_PREFIX/etc/profile.d/conda.sh" # otherwise conda complains about 'shell not initialized' (needed when running in a script)
+conda activate "$INSTALL_ENV_DIR"
+
+# setup installer env
+python one_click.py $@

start_windows.bat

@@ -0,0 +1,84 @@
+@echo off
+
+cd /D "%~dp0"
+
+set PATH=%PATH%;%SystemRoot%\system32
+
+echo "%CD%"| findstr /C:" " >nul && echo This script relies on Miniconda which can not be silently installed under a path with spaces. && goto end
+
+@rem Check for special characters in installation path
+set "SPCHARMESSAGE="WARNING: Special characters were detected in the installation path!" "         This can cause the installation to fail!""
+echo "%CD%"| findstr /R /C:"[!#\$%&()\*+,;<=>?@\[\]\^`{|}~]" >nul && (
+	call :PrintBigMessage %SPCHARMESSAGE%
+)
+set SPCHARMESSAGE=
+
+@rem fix failed install when installing to a separate drive
+set TMP=%cd%\installer_files
+set TEMP=%cd%\installer_files
+
+@rem deactivate existing conda envs as needed to avoid conflicts
+(call conda deactivate && call conda deactivate && call conda deactivate) 2>nul
+
+@rem config
+set INSTALL_DIR=%cd%\installer_files
+set CONDA_ROOT_PREFIX=%cd%\installer_files\conda
+set INSTALL_ENV_DIR=%cd%\installer_files\env
+set MINICONDA_DOWNLOAD_URL=https://repo.anaconda.com/miniconda/Miniconda3-py310_23.3.1-0-Windows-x86_64.exe
+set conda_exists=F
+
+@rem figure out whether git and conda needs to be installed
+call "%CONDA_ROOT_PREFIX%\_conda.exe" --version >nul 2>&1
+if "%ERRORLEVEL%" EQU "0" set conda_exists=T
+
+@rem (if necessary) install git and conda into a contained environment
+@rem download conda
+if "%conda_exists%" == "F" (
+	echo Downloading Miniconda from %MINICONDA_DOWNLOAD_URL% to %INSTALL_DIR%\miniconda_installer.exe
+
+	mkdir "%INSTALL_DIR%"
+	call curl -Lk "%MINICONDA_DOWNLOAD_URL%" > "%INSTALL_DIR%\miniconda_installer.exe" || ( echo. && echo Miniconda failed to download. && goto end )
+
+	echo Installing Miniconda to %CONDA_ROOT_PREFIX%
+	start /wait "" "%INSTALL_DIR%\miniconda_installer.exe" /InstallationType=JustMe /NoShortcuts=1 /AddToPath=0 /RegisterPython=0 /NoRegistry=1 /S /D=%CONDA_ROOT_PREFIX%
+
+	@rem test the conda binary
+	echo Miniconda version:
+	call "%CONDA_ROOT_PREFIX%\_conda.exe" --version || ( echo. && echo Miniconda not found. && goto end )
+)
+
+@rem create the installer env
+if not exist "%INSTALL_ENV_DIR%" (
+	echo Packages to install: %PACKAGES_TO_INSTALL%
+	call "%CONDA_ROOT_PREFIX%\_conda.exe" create --no-shortcuts -y -k --prefix "%INSTALL_ENV_DIR%" python=3.11 || ( echo. && echo Conda environment creation failed. && goto end )
+)
+
+@rem check if conda environment was actually created
+if not exist "%INSTALL_ENV_DIR%\python.exe" ( echo. && echo Conda environment is empty. && goto end )
+
+@rem environment isolation
+set PYTHONNOUSERSITE=1
+set PYTHONPATH=
+set PYTHONHOME=
+set "CUDA_PATH=%INSTALL_ENV_DIR%"
+set "CUDA_HOME=%CUDA_PATH%"
+
+@rem activate installer env
+call "%CONDA_ROOT_PREFIX%\condabin\conda.bat" activate "%INSTALL_ENV_DIR%" || ( echo. && echo Miniconda hook not found. && goto end )
+
+@rem setup installer env
+call python one_click.py %*
+
+@rem below are functions for the script   next line skips these during normal execution
+goto end
+
+:PrintBigMessage
+echo. && echo.
+echo *******************************************************************
+for %%M in (%*) do echo * %%~M
+echo *******************************************************************
+echo. && echo.
+exit /b
+
+:end
+pause

start_wsl.bat

@@ -0,0 +1,11 @@
+@echo off
+
+cd /D "%~dp0"
+
+set PATH=%PATH%;%SystemRoot%\system32
+
+@rem sed -i 's/\x0D$//' ./wsl.sh converts newlines to unix format in the wsl script
+call wsl -e bash -lic "sed -i 's/\x0D$//' ./wsl.sh; source ./wsl.sh %*"
+
+:end
+pause

update_linux.sh

@@ -0,0 +1,26 @@
+#!/bin/bash
+
+cd "$(dirname "${BASH_SOURCE[0]}")"
+
+if [[ "$(pwd)" =~ " " ]]; then echo This script relies on Miniconda which can not be silently installed under a path with spaces. && exit; fi
+
+# deactivate existing conda envs as needed to avoid conflicts
+{ conda deactivate && conda deactivate && conda deactivate; } 2> /dev/null
+
+# config
+CONDA_ROOT_PREFIX="$(pwd)/installer_files/conda"
+INSTALL_ENV_DIR="$(pwd)/installer_files/env"
+
+# environment isolation
+export PYTHONNOUSERSITE=1
+unset PYTHONPATH
+unset PYTHONHOME
+export CUDA_PATH="$INSTALL_ENV_DIR"
+export CUDA_HOME="$CUDA_PATH"
+
+# activate installer env
+source "$CONDA_ROOT_PREFIX/etc/profile.d/conda.sh" # otherwise conda complains about 'shell not initialized' (needed when running in a script)
+conda activate "$INSTALL_ENV_DIR"
+
+# update installer env
+python one_click.py --update && echo -e "\nDone!"

update_macos.sh

@@ -0,0 +1,26 @@
+#!/bin/bash
+
+cd "$(dirname "${BASH_SOURCE[0]}")"
+
+if [[ "$(pwd)" =~ " " ]]; then echo This script relies on Miniconda which can not be silently installed under a path with spaces. && exit; fi
+
+# deactivate existing conda envs as needed to avoid conflicts
+{ conda deactivate && conda deactivate && conda deactivate; } 2> /dev/null
+
+# config
+CONDA_ROOT_PREFIX="$(pwd)/installer_files/conda"
+INSTALL_ENV_DIR="$(pwd)/installer_files/env"
+
+# environment isolation
+export PYTHONNOUSERSITE=1
+unset PYTHONPATH
+unset PYTHONHOME
+export CUDA_PATH="$INSTALL_ENV_DIR"
+export CUDA_HOME="$CUDA_PATH"
+
+# activate installer env
+source "$CONDA_ROOT_PREFIX/etc/profile.d/conda.sh" # otherwise conda complains about 'shell not initialized' (needed when running in a script)
+conda activate "$INSTALL_ENV_DIR"
+
+# update installer env
+python one_click.py --update && echo -e "\nDone!"

update_windows.bat

@@ -0,0 +1,37 @@
+@echo off
+
+cd /D "%~dp0"
+
+set PATH=%PATH%;%SystemRoot%\system32
+
+echo "%CD%"| findstr /C:" " >nul && echo This script relies on Miniconda which can not be silently installed under a path with spaces. && goto end
+
+@rem fix failed install when installing to a separate drive
+set TMP=%cd%\installer_files
+set TEMP=%cd%\installer_files
+
+@rem deactivate existing conda envs as needed to avoid conflicts
+(call conda deactivate && call conda deactivate && call conda deactivate) 2>nul
+
+@rem config
+set CONDA_ROOT_PREFIX=%cd%\installer_files\conda
+set INSTALL_ENV_DIR=%cd%\installer_files\env
+
+@rem environment isolation
+set PYTHONNOUSERSITE=1
+set PYTHONPATH=
+set PYTHONHOME=
+set "CUDA_PATH=%INSTALL_ENV_DIR%"
+set "CUDA_HOME=%CUDA_PATH%"
+
+@rem activate installer env
+call "%CONDA_ROOT_PREFIX%\condabin\conda.bat" activate "%INSTALL_ENV_DIR%" || ( echo. && echo Miniconda hook not found. && goto end )
+
+@rem update installer env
+call python one_click.py --update && (
+    echo.
+    echo Done!
+)
+
+:end
+pause

update_wsl.bat

@@ -0,0 +1,11 @@
+@echo off
+
+cd /D "%~dp0"
+
+set PATH=%PATH%;%SystemRoot%\system32
+
+@rem sed -i 's/\x0D$//' ./wsl.sh converts newlines to unix format in the wsl script   calling wsl.sh with 'update' will run updater
+call wsl -e bash -lic "sed -i 's/\x0D$//' ./wsl.sh; source ./wsl.sh update"
+
+:end
+pause

wsl.sh

@@ -0,0 +1,112 @@
+#!/bin/bash
+
+# detect if build-essential is missing or broken
+if ! dpkg-query -W -f'${Status}' "build-essential" 2>/dev/null | grep -q "ok installed"; then
+echo "build-essential not found or broken!
+
+A C++ compiler is required to build needed Python packages!
+To install one, run cmd_wsl.bat and enter these commands:
+
+sudo apt-get update
+sudo apt-get install build-essential
+"
+read -n1 -p "Continue the installer anyway? [y,n]" EXIT_PROMPT
+# only continue if user inputs 'y' else exit
+if ! [[ $EXIT_PROMPT == "Y" || $EXIT_PROMPT == "y" ]]; then exit; fi
+fi
+
+# deactivate existing conda envs as needed to avoid conflicts
+{ conda deactivate && conda deactivate && conda deactivate; } 2> /dev/null
+
+# config   unlike other scripts, can't use current directory due to file IO bug in WSL, needs to be in virtual drive
+INSTALL_DIR_PREFIX="$HOME/text-gen-install"
+if [[ ! $(realpath "$(pwd)/..") = /mnt/* ]]; then
+    INSTALL_DIR_PREFIX="$(realpath "$(pwd)/..")" && INSTALL_INPLACE=1
+fi
+INSTALL_DIR="$INSTALL_DIR_PREFIX/text-generation-webui"
+CONDA_ROOT_PREFIX="$INSTALL_DIR/installer_files/conda"
+INSTALL_ENV_DIR="$INSTALL_DIR/installer_files/env"
+MINICONDA_DOWNLOAD_URL="https://repo.anaconda.com/miniconda/Miniconda3-py310_23.3.1-0-Linux-x86_64.sh"
+conda_exists="F"
+
+# environment isolation
+export PYTHONNOUSERSITE=1
+unset PYTHONPATH
+unset PYTHONHOME
+export CUDA_PATH="$INSTALL_ENV_DIR"
+export CUDA_HOME="$CUDA_PATH"
+
+# /usr/lib/wsl/lib needs to be added to LD_LIBRARY_PATH to fix years-old bug in WSL where GPU drivers aren't linked properly
+export LD_LIBRARY_PATH="$CUDA_HOME/lib:/usr/lib/wsl/lib:$LD_LIBRARY_PATH"
+
+# open bash cli if called with 'wsl.sh cmd' with workarounds for existing conda
+if [ "$1" == "cmd" ]; then
+    exec bash --init-file <(echo ". ~/.bashrc; conda deactivate 2> /dev/null; cd $INSTALL_DIR || cd $HOME; source $CONDA_ROOT_PREFIX/etc/profile.d/conda.sh; conda activate $INSTALL_ENV_DIR")
+    exit
+fi
+
+if [[ "$INSTALL_DIR" =~ " " ]]; then echo This script relies on Miniconda which can not be silently installed under a path with spaces. && exit; fi
+
+# create install dir if missing
+if [ ! -d "$INSTALL_DIR" ]; then mkdir -p "$INSTALL_DIR" || exit; fi
+
+# figure out whether git and conda needs to be installed
+if "$CONDA_ROOT_PREFIX/bin/conda" --version &>/dev/null; then conda_exists="T"; fi
+
+# (if necessary) install git and conda into a contained environment
+# download miniconda
+if [ "$conda_exists" == "F" ]; then
+    echo "Downloading Miniconda from $MINICONDA_DOWNLOAD_URL to $INSTALL_DIR/miniconda_installer.sh"
+
+    curl -Lk "$MINICONDA_DOWNLOAD_URL" > "$INSTALL_DIR/miniconda_installer.sh"
+
+    chmod u+x "$INSTALL_DIR/miniconda_installer.sh"
+    bash "$INSTALL_DIR/miniconda_installer.sh" -b -p $CONDA_ROOT_PREFIX
+
+    # test the conda binary
+    echo "Miniconda version:"
+    "$CONDA_ROOT_PREFIX/bin/conda" --version
+fi
+
+# create the installer env
+if [ ! -e "$INSTALL_ENV_DIR" ]; then
+    "$CONDA_ROOT_PREFIX/bin/conda" create -y -k --prefix "$INSTALL_ENV_DIR" python=3.11 git
+fi
+
+# check if conda environment was actually created
+if [ ! -e "$INSTALL_ENV_DIR/bin/python" ]; then
+    echo "Conda environment is empty."
+    exit
+fi
+
+# activate installer env
+source "$CONDA_ROOT_PREFIX/etc/profile.d/conda.sh" # otherwise conda complains about 'shell not initialized' (needed when running in a script)
+conda activate "$INSTALL_ENV_DIR"
+
+pushd $INSTALL_DIR 1> /dev/null || exit
+
+if [ ! -f "./server.py" ]; then
+    git init -b main
+    git remote add origin https://github.com/oobabooga/text-generation-webui
+    git fetch
+    git remote set-head origin -a
+    git reset origin/HEAD --hard
+    git branch --set-upstream-to=origin/HEAD
+    git restore -- . :!./CMD_FLAGS.txt
+fi
+
+# copy CMD_FLAGS.txt to install dir to allow edits within Windows
+if [[ $INSTALL_INPLACE != 1 ]]; then
+    # workaround for old install migration
+    if [ ! -f "./wsl.sh" ]; then
+        git pull || exit
+        [ -f "../webui.py" ] && mv "../webui.py" "../webui-old.py"
+    fi
+    if [ -f "$(dirs +1)/CMD_FLAGS.txt" ] && [ -f "./CMD_FLAGS.txt" ]; then cp -u "$(dirs +1)/CMD_FLAGS.txt" "$INSTALL_DIR"; fi
+fi
+
+# setup installer env   update env if called with 'wsl.sh update'
+case "$1" in
+("update") python one_click.py --update;;
+(*) python one_click.py $@;;
+esac